@Article{Belkin06,
  title =	"Manifold Regularization: {A} Geometric Framework for
		 Learning from Labeled and Unlabeled Examples",
  author =	"Mikhail Belkin and Partha Niyogi and Vikas Sindhwani",
  journal =	"Journal of Machine Learning Research",
  year = 	"2006",
  volume =	"7",
  bibdate =	"2007-02-21",
  bibsource =	"DBLP,
		 http://dblp.uni-trier.de/db/journals/jmlr/jmlr7.html#BelkinNS06",
  pages =	"2399--2434",
  URL =  	"http://www.jmlr.org/papers/v7/belkin06a.html",
}


@InCollection{Burges98,
  author =	"Christopher J. C. Burges",
  year = 	"1998",
  booktitle =	"Knowledge Discovery and Data Mining",
  number =	"4",
  pages =	"121--167",
  volume =	"2",
  title =	"A Tutorial on Support Vector Machines for Pattern
		 Recognition",
}

@Manual{Chang01,
  author =	 {Chih-Chung Chang and Chih-Jen Lin},
  title =	 {{LIBSVM}: a library for support vector machines},
  year =	 {2001},
  note =	 {Software available at {\tt http://www.csie.ntu.edu.tw/$\sim$cjlin/libsvm}}
}

@Book{Scholkopf02,
  author =	"B. Sch{\"o}lkopf and A. J. Smola",
  title =	"Learning with Kernels",
  publisher =	"The MIT Press",
  year = 	"2002",
  address =	"Cambridge, MA",
}

@Book{Chapelle06,
  title =	"Semi-Supervised Learning",
  author =	"Olivier Chapelle and Bernhard Sch{\"o}lkopf and
		 Alexander Zien",
  publisher =	"MIT Press",
  year = 	"2006",
  month =	sep,
  abstract =	"In the field of machine learning, semi-supervised
		 learning (SSL) occupies the middle ground, between
		 supervised learning (in which all training examples are
		 labeled) and unsupervised learning (in which no label
		 data are given). Interest in SSL has increased in
		 recent years, particularly because of application
		 domains in which unlabeled data are plentiful, such as
		 images, text, and bioinformatics. This first
		 comprehensive overview of SSL presents state-of-the-art
		 algorithms, a taxonomy of the field, selected
		 applications, benchmark experiments, and perspectives
		 on ongoing and future research. Semi-Supervised
		 Learning first presents the key assumptions and ideas
		 underlying the field: smoothness, cluster or
		 low-density separation, manifold structure, and
		 transduction. The core of the book is the presentation
		 of SSL methods, organized according to algorithmic
		 strategies. After an examination of generative models,
		 the book describes algorithms that implement the
		 low-density separation assumption, graph-based methods,
		 and algorithms that perform two-step learning. The book
		 then discusses SSL applications and offers guidelines
		 for SSL practitioners by analyzing the results of
		 extensive benchmark experiments. Finally, the book
		 looks at interesting directions for SSL research. The
		 book closes with a discussion of the relationship
		 between semi-supervised learning and transduction.",
  bibsource =	"OAI-PMH server at eprints.pascal-network.org",
  oai =  	"oai:eprints.pascal-network.org:3092",
  subject =	"Computational, Information-Theoretic Learning with
		 Statistics; Learning/Statistics \& Optimisation; Theory
		 \& Algorithms",
  type = 	"NonPeerReviewed",
  URL =  	"http://www.kyb.tuebingen.mpg.de/ssl-book/",
  note = "Web page: http://www.kyb.tuebingen.mpg.de/ssl-book/",
}

@techreport{Zhu07,
	author = "Xiaojin Zhu",
	title = "Semi-Supervised Learning Literature Survey",
	institution = "Computer Sciences, University of Wisconsin-Madison",
	number = "1530",
	year = 2007,
	URL = "http://www.cs.wisc.edu/$\sim$jerryzhu/pub/ssl\_survey.pdf"
}

@Article{Tenenbaum00,
  author =	"J. B. Tenenbaum and V. de Silva and J. C. Langford",
  title =	"A Global Geometric Framework for Nonlinear
		 Dimensionality Reduction",
  journal =	"Science",
  volume =	"290",
  year = 	"2000",
  number =	"5500",
  month =	dec,
  pages =	"2319--2323",
  URL =  	"http://isomap.stanford.edu/",
  bibsource =	"http://www.visionbib.com/bibliography/pattern601.html#TT43941",
}

@Misc{Bernstein00,
	author = "Mira Bernstein and Vin de Silva and John C. Langford and Joshua B. Tenenbaum",
	title = "Graph approximations to geodesics on embedded manifolds",
	year = "2000",
	URL = "http://isomap.stanford.edu/BdSLT.pdf",
}


@Article{Quan05,
	author = "QUAN Yong and YANG Jie",
	title = "Geodesic Distance for Support Vector Machines",
	journal = "Acta Automatica Sinica",
	volume = "31",
	number = "2",
	year = "2005",
	pages = "202--208",
	URL = "http://www.aas.net.cn/qikan/manage/wenzhang/050205.pdf",	
}

@InProceedings{Zelnik04,
  title =	"Self-Tuning Spectral Clustering",
  author =	"Lihi Zelnik-Manor and Pietro Perona",
  year = 	"2004",
  bibdate =	"2006-02-13",
  bibsource =	"DBLP,
		 http://dblp.uni-trier.de/db/conf/nips/nips2004.html#Zelnik-ManorP04",
  booktitle =	"NIPS",
  URL =  	"http://books.nips.cc/papers/files/nips17/NIPS2004\_0572.pdf",
}

@Book{Golub96,
  author =	"Gene H. Golub and Charles F. {Van Loan}",
  title =	"Matrix Computations, 3nd Edition",
  publisher =	"The Johns Hopkins University Press",
  address =	"Baltimore, MD",
  year = 	"1996",
}

@Book{Wu04,
	author = "Bang Ye Wu and Kun-Mao Chao",
	title = "Spanning Trees and Optimization Problems",
	publisher = "Chapman and Hall/CRC",
	address = "Boca Raton, Florida",
	year = "2004",
}

@InProceedings{Fischer03,
  title =	"Clustering with the Connectivity Kernel",
  author =	"Bernd Fischer and Volker Roth and Joachim M. Buhmann",
  publisher =	"MIT Press",
  year = 	"2003",
  bibdate =	"2004-10-12",
  bibsource =	"DBLP,
		 http://dblp.uni-trier.de/db/conf/nips/nips2003.html#FischerRB03",
  booktitle =	"NIPS",
  editor =	"Sebastian Thrun and Lawrence K. Saul and Bernhard
		 Sch{\"o}lkopf",
  ISBN = 	"0-262-20152-6",
  URL =  	"http://books.nips.cc/papers/files/nips16/NIPS2003\_AA12.pdf",
}

@InProceedings{Gent03,
  author =	"Ian P. Gent and Patrick Prosser and Barbara M. Smith and Wu Wei",
  title =	"Supertree Construction with Constraint Programming",
  booktitle =	"ICCP: International Conference on Constraint
		 Programming (CP), LNCS",
  year = 	"2003",
}

@Misc{Deza92,
  title =	"Applications of Cut Polyhedra",
  author =	"M. Deza and M. Laurent",
  year = 	"1992",
  month =	oct # "~22",
  bibsource =	"OAI-PMH server at cs1.ist.psu.edu",
  language =	"en",
  oai =  	"oai:CiteSeerPSU:14607",
  rights =	"unrestricted",
  URL =  	"http://citeseer.ist.psu.edu/14607.html;
		 ftp://ftp.ens.fr/pub/dmi/users/liens/liens-92-18.A4.ps.Z",
}

@InProceedings{Chapelle02,
  title =	"Cluster Kernels for Semi-Supervised Learning",
  author =	"Olivier Chapelle and Jason Weston and Bernhard
		 Sch{\"o}lkopf",
  publisher =	"MIT Press",
  year = 	"2002",
  bibdate =	"2004-10-12",
  bibsource =	"DBLP,
		 http://dblp.uni-trier.de/db/conf/nips/nips2002.html#ChapelleWS02",
  booktitle =	"NIPS",
  editor =	"Suzanna Becker and Sebastian Thrun and Klaus
		 Obermayer",
  ISBN = 	"0-262-02550-7",
  pages =	"585--592",
  URL =  	"http://books.nips.cc/papers/files/nips15/AA13.pdf",
}

@InProceedings{Szummer01,
  title =	"Partially labeled classification with Markov random
		 walks",
  author =	"Martin Szummer and Tommi Jaakkola",
  bibdate =	"2003-01-31",
  bibsource =	"DBLP,
		 http://dblp.uni-trier.de/db/conf/nips/nips2001.html#SzummerJ01",
  booktitle =	"NIPS",
  booktitle =	"Advances in Neural Information Processing Systems 14
		 [Neural Information Processing Systems: Natural and
		 Synthetic, {NIPS} 2001, December 3-8, 2001, Vancouver,
		 British Columbia, Canada]",
  publisher =	"MIT Press",
  year = 	"2001",
  editor =	"Thomas G. Dietterich and Suzanna Becker and Zoubin
		 Ghahramani",
  pages =	"945--952",
  URL =  	"http://www-2.cs.cmu.edu/Groups/NIPS/NIPS2001/papers/psgz/AA36.ps.gz",
}

@Misc{Weston04,
  title =	"Semi-Supervised Protein Classification using Cluster
		 Kernels",
  author =	"Jason Weston and Christina Leslie and Dengyong Zhou
		 and Andre Elisseeff and William Stafford Noble",
  year = 	"2004",
  abstract =	"A key issue in supervised protein classification is
		 the representation of input sequences of amino acids.
		 Recent work using string kernels for protein data has
		 achieved state-of-the-art classification performance.
		 However, such representations are based only on labeled
		 data --- examples with known 3D structures, organized
		 into structural classes --- while in practice,
		 unlabeled data is far more plentiful. In this work, we
		 develop simple and scalable cluster kernel techniques
		 for incorporating unlabeled data into the
		 representation of protein sequences. We show that our
		 methods greatly improve the classification performance
		 of string kernels and outperform standard approaches
		 for using unlabeled data, such as adding close homologs
		 of the positive examples to the training data. We
		 achieve equal or superior performance to previously
		 presented cluster kernel methods while achieving far
		 greater computational efficiency.",
  bibsource =	"OAI-PMH server at eprints.pascal-network.org",
  oai =  	"oai:eprints.pascal-network.org:479",
  subject =	"Theory \& Algorithms",
  type = 	"Conference or Workshop Item; PeerReviewed",
  URL =  	"http://eprints.pascal-network.org/archive/00000479/;
		 http://eprints.pascal-network.org/archive/00000479/01/CLUS.pdf",
}

@InProceedings{Cristianini01,
  title =	"On Kernel-Target Alignment",
  author =	"Nello Cristianini and John Shawe-Taylor and Andr{\'e}
		 Elisseeff and Jaz S. Kandola",
  bibdate =	"2004-10-12",
  bibsource =	"DBLP,
		 http://dblp.uni-trier.de/db/conf/nips/nips2001.html#CristianiniSEK01",
  booktitle =	"Advances in Neural Information Processing Systems 14
		 [Neural Information Processing Systems: Natural and
		 Synthetic, {NIPS} 2001, December 3-8, 2001, Vancouver,
		 British Columbia, Canada]",
  publisher =	"MIT Press",
  year = 	"2001",
  editor =	"Thomas G. Dietterich and Suzanna Becker and Zoubin
		 Ghahramani",
  pages =	"367--373",
  URL =  	"http://www-2.cs.cmu.edu/Groups/NIPS/NIPS2001/papers/psgz/LT17.ps.gz",
}

@Book{Jain88,
  author =	"Anil K. Jain and Richard C. Dubes",
  title =	"Algorithms for Clustering Data",
  publisher =	"Prentice-Hall",
  year = 	"1988",
}

@Book{Borg05,
  author =	"Ingwer Borg and Patrick J. F. Groenen",
  title =	"Modern multidimensional scaling, 2nd edition",
  publisher =	"Springer-Verlag",
  address =	"New York",
  year = 	"2005",
}

@InProceedings{Ham04,
  title =	"A kernel view of the dimensionality reduction of
		 manifolds",
  author =	"Jihun Ham and Daniel D. Lee and Sebastian Mika and
		 Bernhard Sch{\"o}lkopf",
  booktitle =	"Machine Learning, Proceedings of the Twenty-first
		 International Conference ({ICML} 2004), Banff, Alberta,
		 Canada, July 4-8, 2004",
  publisher =	"ACM",
  year = 	"2004",
  volume =	"69",
  editor =	"Carla E. Brodley",
  series =	"ACM International Conference Proceeding Series",
}

@BOOK{Bishop06,
  AUTHOR =	 "Christopher M. Bishop",
  TITLE =	 "Pattern Recognition and Machine Learning",
  YEAR =	 2006,
  PUBLISHER =	 "Springer Verlag",
  ADDRESS =	 "New York"
} 

@BOOK{Csato08,
  AUTHOR =	 "Lehel Csat\'{o} and Zal\'{a}n Bod\'{o}",
  TITLE =	 "Neurális hálók és a gépi tanulás módszerei 
                  (Re\c{t}ele neurale \c{s}i metode de instruire automat\u{a})",
  YEAR =	 "2008",
  PUBLISHER =	 "Presa Universitar\u{a} Clujean\u{a}",
  ADDRESS =	 "Cluj-Napoca",
} 

@Book{Morelos02,
  author =	"Robert Morelos-Zaragoza",
  title =	"The Art of Error Correcting Coding",
  publisher =	"John Wiley and Sons, Inc.",
  address =	"pub-WILEY:adr",
  pages =	"xvi + 221",
  year = 	"2002",
  ISBN = 	"0-471-49581-6",
  isbn-13 =	"978-0-471-49581-9",
}

 @Article{Diettrich95,
   author =	"T. G. Dietterich and G. Bakiri",
   title =	"Solving Multiclass Learning Problems via
 		 Error-Correcting Output Codes",
   journal =	"Journal of Artificial Intelligence Research",
   volume =	"2",
   year = 	"1995",
   pages =	"263--286",
}

@InProceedings{Platt99,
  title =	"Large Margin {DAG}s for Multiclass Classification",
  author =	"John C. Platt and Nello Cristianini and John
		 Shawe-Taylor",
  publisher =	"The MIT Press",
  year = 	"1999",
  bibdate =	"2003-05-28",
  booktitle =	"NIPS",
  editor =	"Sara A. Solla and Todd K. Leen and Klaus-Robert
		 M{\"u}ller",
  ISBN = 	"0-262-19450-3",
  pages =	"547--553",
  URL =  	"http://nips.djvuzone.org/djvu/nips12/0547.djvu",
}

@Inproceedings{Weston99,
	author=		"J. Weston and C. Watkins",
	title=		"Support vector machines for multiclass pattern recognition",
	booktitle=	"Proceedings of the Seventh European Symposium On Artificial Neural Networks",
	year=		"1999",
	month=		"4",
	url=		"http://citeseer.ist.psu.edu/article/weston99support.html",
}

@InProceedings{Crammer02,
  title =	"A new family of online algorithms for category ranking",
  author =	"Koby Crammer and Yoram Singer",
  booktitle = {The 25th Annual International ACM SIGIR Conference},
  publisher =	"ACM",
  year = 	"2002",
  URL =  	"http://doi.acm.org/10.1145/564376.564404"
} 

@Misc{Hsu01,
  title =	"A Comparison of Methods for Multi-class Support Vector
		 Machines",
  author =	"Chih-wei Hsu and Chih-jen Lin",
  year = 	"2001",
  URL =  	"http://citeseer.ist.psu.edu/537288.html",
} 

@INPROCEEDINGS{Berger99,
    author = {Adam Berger},
    title = {Error-correcting output coding for text classification},
    booktitle = {Proceedings of IJCAI-99 Workshop on Machine Learning for Information Filtering},
    year = {1999},
}

@Misc{Lin03,
  title =	"A Study on Sigmoid Kernels for {SVM} and the Training of non-{PSD} Kernels by {SMO}-type Methods",
  author =	"Hsuan-tien Lin and Chih-jen Lin",
  year = 	"2003",
  URL =  	"http://citeseer.ist.psu.edu/584223.html",
} 

@Article{Furnkrantz02,
  author =	"Johannes F{\"u}rnkranz",
  title =	"Round Robin Classification",
  journal =	"Journal of Machine Learning Research",
  volume =	"2",
  year = 	"2002",
  pages =	"721--747",
} 

@Book{Baeza99,
  author =	"Ricardo Baeza-Yates and Berthier Ribeiro-Neto",
  keywords =	"information retrieval",
  publisher =	"Addison-Wesley",
  title =	"Modern Information Retrieval",
  URL =  	"http://sunsite.dcc.uchile.cl/irbook",
  year = 	"1999",
}

@InProceedings{Fuhr91,
  author =	"Norbert Fuhr and Stephan Hartmann and Gerhard Knorz
		 and Gerhard Lustig and Michael Schwantner and
		 Konstadinos Tzeras",
  title =	"{AIR/X} -- a Rule-Based Multistage Indexing System for
		 Large Subject Fields",
  booktitle =	"Proceedings of RIAO-91, 3rd International Conference
		 ``Recherche d'Information Assistee par Ordinateur''",
  publisher =	"Elsevier Science Publishers, Amsterdam, NL",
  editor =	"Andr{\'e} Lichnerowicz",
  address =	"Barcelona, ES",
  year = 	"1991",
  pages =	"606--623",
  URL =  	"http://www.darmstadt.gmd.de/~tzeras/FullPapers/gz/Fuhr-etal-91.ps.gz",
}

@Article{Yang99a,
  author =	"Yiming Yang",
  title =	"An evaluation of statistical approaches to text
		 categorization",
  journal =	"Information Retrieval",
  volume =	"1",
  number =	"1-2",
  pages =	"69--90",
  year = 	"1999",
  URL =  	"citeseer.nj.nec.com/yang97evaluation.html",
}

@InProceedings{Yang99b,
  author =	"Yiming Yang and Xin Liu",
  title =	"A re-examination of text categorization methods",
  booktitle =	"SIGIR",
  year =	"1999",
  pages =	"42--49",
}

@InProceedings{Yang97,
  author =	"Yiming Yang and Jan O. Pedersen",
  title =	"A Comparative Study on Feature Selection in Text
		 Categorization",
  booktitle =	"International Conference on Machine Learning",
  pages =	"412--420",
  year = 	"1997",
  URL =  	"citeseer.nj.nec.com/yang97comparative.html",
}

@Article{Sebastiani02,
  author =	"Fabrizio Sebastiani",
  year = 	"2002",
  title =	"Machine learning in automated text categorization",
  journal =	"ACM Computing Surveys",
  volume =	"34",
  number =	"1",
  pages =	"1--47",
}

@Article{Guyon03,
  author =	"Isabelle Guyon and Andr{\'{e}} Elisseeff",
  title =	"An Introduction to Variable and Feature Selection",
  journal =	"Journal of Machine Learning Research",
  volume =	"3",
  year = 	"2003",
  pages =	"1157--1182",
}

@Book{Zdziarski05,
  author =	"Jonathan A. Zdziarski",
  title =	"Ending spam: {Bayesian} content filtering and the art
		 of statistical language classification",
  publisher =	"No Starch Press",
  address =	"pub-NO-STARCH:adr",
  pages =	"312 (est.)",
  year = 	"2005",
  ISBN = 	"1-59327-052-6",
  isbn-13 =	"978-1-59327-052-0",
  LCCN = 	"TK5105.743 .Z35 2005",
  bibdate =	"Wed Jun 22 14:40:22 MDT 2005",
  bibsource =	"z3950.loc.gov:7090/Voyager",
  URL =  	"ftp://uiarchive.cso.uiuc.edu/pub/etext/gutenberg/;
		 http://www.oreilly.com/catalog/1593270526/;
		 http://www.loc.gov/catdir/toc/ecip0510/2005008221.html",
  subject =	"Spam filtering (Electronic mail); Filters
		 (Mathematics)",
}

@InProceedings{Minier06,
  author =	"Zsolt Minier and Zal\'{a}n Bod\'{o} and Lehel Csat\'{o}",
  title =	"Segmentation-based feature selection for text categorization",
  booktitle =	"Proceedings of the 2nd International Conference on
  Intelligent Computer Communication and Processing (ICCP 2006)",
  year = 	"2006",
  month =	"September 1--2",
  location =	"Cluj-Napoca, Romania",
  publisher = "IEEE",
  pages =	"53--59",
}

@InProceedings{Bodo07,
  author =	"Zal\'{a}n Bod\'{o} and Zsolt Minier and Lehel Csat\'{o}",
  year = 	"2007",
  title =	"Text Categorization Experiments Using {W}ikipedia",
  booktitle = 	"Proceedings of the conference Knowledge Engineering: Principles and Techniques (KEPT 2007)",
  location = 	"Cluj-Napoca, Romania",
  month = "June 6--7",
  publisher = "Presa Universitarã Clujeanã",
  note = "Special Issue of Studia Universitatis Babe\c{s}-Bolyai, Series Informatica",
  pages = 	"66--72",
} 

@InProceedings{Minier07,
  author =	"Zsolt Minier and Zal\'{a}n Bod\'{o} and Lehel Csat\'{o}",
  year = 	"2007",
  title =	"Wikipedia-based Kernels for Text Categorization",
  booktitle = 	"Proceedings of the 9th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2007)",
  month = "September 26--29",
  publisher = "IEEE",
  location = 	"Timi\c{s}oara, Romania",
  pages = "157--164",
} 

@InProceedings{Bodo08,
  author =	"Zal\'{a}n Bod\'{o}",
  title =	"Hierarchical Cluster Kernels For Supervised And Semi-Supervised Learning",
  booktitle =	"Proceedings of the 4nd International Conference on
  Intelligent Computer Communication and Processing (ICCP 2008)",
  year = 	"2008",
  month =	"August 28--30",
  location =	"Cluj-Napoca, Romania",
  publisher = "IEEE",
  pages =	"9--16",
}

@techreport{Miller93,
  author =	"G. A. Miller and R. Beckwith and C. Fellbaum and D.
		 Gross and K. Miller",
  title =	"Five Papers on WordNet",
  type = 	"{Technical Report}",
  year = 	"1993",
  institution =  "Cognitive Science Laboratory, Princeton University",
}
 
@inproceedings{Corley05,
  author = "Courtney Corley and Andr{\'a}s Csomai and Rada Mihalcea",
  title = "Text Semantic Similarity, with Applications",
  booktitle = "Proceedings of International Conference Recent Advances in Natural Language Processing (RANLP 2005)",
  location = "Borovets, Bulgaria",
  month = "September",
  year = "2005",
}
 
@Article{Weston03,
  author =	"Jason Weston and Andr{\'{e}} Elisseeff and Bernhard
		 Sch{\"o}lkopf and Mike Tipping",
  title =	"Use of the Zero-Norm with Linear Models and Kernel
		 Methods",
  journal =	"Journal of Machine Learning Research",
  volume =	"3",
  year = 	"2003",
  pages =	"1439--1461",
}

@Article{Lodhi02,
  author =	"Huma Lodhi and Craig Saunders and John Shawe-Taylor
		 and Nello Cristianini and Chris Watkins",
  title =	"Text Classification using String Kernels",
  journal =	"Journal of Machine Learning Research",
  volume =	"2",
  year = 	"2002",
  pages =	"419--444",
}

@InProceedings{Vishwanathan02a,
  title =	"Fast Kernels for String and Tree Matching",
  author =	"S. V. N. Vishwanathan and Alexander J. Smola",
  publisher =	"MIT Press",
  year = 	"2002",
  bibdate =	"2006-02-15",
  bibsource =	"DBLP,
		 http://dblp.uni-trier.de/db/conf/nips/nips2002.html#ViswanathanS02",
  booktitle =	"NIPS",
  editor =	"Suzanna Becker and Sebastian Thrun and Klaus
		 Obermayer",
  ISBN = 	"0-262-02550-7",
  pages =	"569--576",
  URL =  	"http://books.nips.cc/papers/files/nips15/AA11.pdf",
}

@InProceedings{Leslie03,
  author =	"Christina Leslie and Rui Kuang",
  title =	"Fast Kernels for Inexact String Matching",
  booktitle =	"COLT: Proceedings of the Workshop on Computational
		 Learning Theory, Morgan Kaufmann Publishers",
  year = 	"2003",
}

@InProceedings{Leslie02,
  title =	"Mismatch String Kernels for {SVM} Protein
		 Classification",
  author =	"Christina S. Leslie and Eleazar Eskin and Jason Weston
		 and William Stafford Noble",
  publisher =	"MIT Press",
  year = 	"2002",
  bibdate =	"2004-10-12",
  bibsource =	"DBLP,
		 http://dblp.uni-trier.de/db/conf/nips/nips2002.html#LeslieEWN02",
  booktitle =	"NIPS",
  editor =	"Suzanna Becker and Sebastian Thrun and Klaus
		 Obermayer",
  ISBN = 	"0-262-02550-7",
  pages =	"1417--1424",
  URL =  	"http://books.nips.cc/papers/files/nips15/AP03.pdf",
}

@Article{Cristianini02,
  title =	"Latent Semantic Kernels",
  author =	"Nello Cristianini and John Shawe-Taylor and Huma
		 Lodhi",
  journal =	"J. Intell. Inf. Syst",
  year = 	"2002",
  number =	"2-3",
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  bibdate =	"2003-12-03",
  bibsource =	"DBLP,
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}

@Book{ShaweTaylor04,
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  year = 	"2004",
  URL =  	"http://www.kernel-methods.net/",
  bibsource =	"http://www.visionbib.com/bibliography/book28.html#TT1458",
}

@InProceedings{Cristianini03,
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  year = 	"2003",
  bibdate =	"2004-10-12",
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@incollection{Weston06,
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@InProceedings{Dhillon04,
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@techreport{Luxburg06,
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@phdthesis{Bie05,
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 school = {Katholieke Universiteit Leuven},
 address = {Kasteelpark Arenberg 10, 3001 Leuven (Heverlee)},
 }

@Book{Cover06,
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@phdthesis{Zhu05,
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	 isbn = {0-542-19059-1},
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	 school = {Carnegie Mellon University},
	 address = {Pittsburgh, PA, USA},
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@techreport{Zhu02,
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  year = "2002",
}

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  year = "1998",
}

@book{Langville06,
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@phdthesis{Basu05,
  title =	"Semi-supervised Clustering:
		 Probabilistic Models, Algorithms and Experiments",
  author =	"Sugato Basu",
  year = 	"2005",
  school =	"The University of Texas at Austin",
}

@InProceedings{Bie04,
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		 Recognition, Joint {IAPR} International Workshops,
		 {SSPR} 2004 and {SPR} 2004, Lisbon, Portugal, August
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  year = 	"2004",
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  editor =	"Ana L. N. Fred and Terry Caelli and Robert P. W. Duin
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}

@Article{Nigam00,
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@PhdThesis{Nigam01,
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		 Mellon University,",
  year = 	"2001",
  school =	"Carnegie Mellon University",
  subject =	"Text processing (Computer science); Data mining.",
}

@Book{Mitchell97,
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@Article{Aizerman64,
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}

@Article{Roweis00,
  author =	"S. T. Roweis and L. K. Saul",
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		 Embedding",
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  year = 	"2000",
  pages =	"2323--2326",
  URL =  	"http://www.sciencemag.org/content/vol290/issue5500/",
  bibsource =	"http://www.visionbib.com/bibliography/pattern601.html#TT44718",
}

@misc{Saul01,
  author = "L. K. Saul and S. T. Roweis",
  title = "An Introduction to Locally Linear Embedding",
  year = "2001",
}

@inproceedings{Decoste01,
  author = "Dennis {DeCoste}",
  title = "Visualizing mercer kernel feature spaces via kernelized locally-linear
    embeddings",
  booktitle = "8th International Conference on Neural Information Processing",
  year = "2001",
  url = "citeseer.ist.psu.edu/decoste01visualizing.html" 
}

@inproceedings{Busa05,
  author = "R{\'o}bert Busa-Fekete and Andr{\'a}s Kocsor",
  title = "Locally Linear Embedding and its Variants for Feature Extraction",
  booktitle = "IEEE International Workshop on Soft Computing Applications, SOFA 2005",
  year = "2005",
}

@misc{Shlens05,
  author =	"Jonathon Shlens",
  title =	"A Tutorial on Principal Component Analysis",
  year = 	"2005",
  address =	"Salk Institute for Biological Studies University of California, San Diego",
}

@article{Scholkopf99,
 author = {Bernhard Sch{\"o}lkopf and Alexander J. Smola and Klaus-Robert M{\"u}ller},
 title = {Kernel principal component analysis},
 journal = {Advances in kernel methods: support vector learning},
 year = {1999},
 isbn = {0-262-19416-3},
 pages = {327-352},
 publisher = {MIT Press},
 address = {Cambridge, MA, USA},
 url = {citeseer.ist.psu.edu/article/sch99kernel.html} 
}

@TechReport{Scholkopf96,
  author =	"Berhard Sch{\"o}lkopf and Alexander Smola and
		 Klaus-Robert M{\"u}ller",
  title =	"Nonlinear Component Analysis as a Kernel Eigenvalue
		 Problem",
  institution =  "Max-Planck Institut f{\"u}r biologische Kybernetik,
		 Arbeitsgruppe B{\"u}lthoff",
  year = 	"1996",
  number =	"44",
  address =	"Spemannstrasse 38, 2076 Tobingen, Germany",
  month =	dec,
  keywords =	"nonlinear component analysis; principal component
		 analysis",
  abstract =	"We describe a new method for performing a nonlinear
		 form of Principal Component Analysis. By the use of
		 integral operator kernel functions, we can efficiently
		 compute principal components in high-dimensional
		 feature spaces, related to input space by some
		 nonlinear map; for instance the space of all possible
		 5-pixel products in $16 \times 16$ images. We give the
		 derivation of the method, along with a discussion of
		 other techniques which can be made nonlinear with the
		 kernel approach; and present first experimental results
		 on nonlinear feature extraction for pattern
		 recognition.",
}

@InProceedings{Kandola02,
  title =	"Learning Semantic Similarity",
  author =	"Jaz S. Kandola and John Shawe-Taylor and Nello
		 Cristianini",
  publisher =	"MIT Press",
  year = 	"2002",
  booktitle =	"NIPS",
  editor =	"Suzanna Becker and Sebastian Thrun and Klaus
		 Obermayer",
  ISBN = 	"0-262-02550-7",
  pages =	"657--664",
  URL =  	"http://books.nips.cc/papers/files/nips15/AA22.pdf",
}

@InProceedings{Joachims98,
  title =	"Text Categorization with Suport Vector Machines:
		 Learning with Many Relevant Features",
  author =	"Thorsten Joachims",
  booktitle =	"Machine Learning: {ECML}-98, 10th European Conference
		 on Machine Learning, Chemnitz, Germany, April 21-23,
		 1998, Proceedings",
  publisher =	"Springer",
  year = 	"1998",
  volume =	"1398",
  editor =	"Claire Nedellec and C{\'e}line Rouveirol",
  ISBN = 	"3-540-64417-2",
  pages =	"137--142",
  series =	"Lecture Notes in Computer Science",
}

@TechReport{Joachims97,
  author =	"Thorsten Joachims",
  year = 	"1997",
  address =	"Dortmund, Germany",
  institution =  "Universit{\"a}t Dortmund",
  number =	"LS VIII-Report",
  title =	"Text Categorization with support vector machines:
		 Learning with many relevant features",
}

@techreport{Varelas05,
  title =	"Semantic Similarity Methods in WordNet and Their Application to Information Retrieval on the Web",
  author =	"Giannis Varelas",
  institution  = "Technical Univ. of Crete (TUC), Dept. of Electronic and Computer Engineering, Chania, Crete, Greece",
  year = 	"2005",
  number = "TR-TUC-ISL-01-2005",
  url = "http://www.intelligence.tuc.gr/publications/Varelas.pdf"
}


@misc{Hirst97,
  title =	"Lexical Chains as Representations of Context for the
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  month =	aug # "~31",
  citeseer-references = "oai:CiteSeerPSU:587343; oai:CiteSeerPSU:155268;
		 oai:CiteSeerPSU:565397",
  annote =	"Graeme Hirst (Department of Computer Science;
		 University of Toronto; Toronto; Ontario; Canada M5S
		 1A4); David St-onge (Department of Computer Science;
		 University of Toronto; Toronto; Ontario; Canada M5S
		 1A4);",
  bibsource =	"OAI-PMH server at cs1.ist.psu.edu",
  description =  "this paper, we examine the idea of lexical chains as
		 such a representation. We show how they can be
		 constructed by means of WordNet, and how they can be
		 applied in one particular linguistic task: the
		 detection and correction of malapropisms.",
  language =	"en",
  oai =  	"oai:CiteSeerPSU:109361",
  rights =	"unrestricted",
  URL =  	"http://citeseer.ist.psu.edu/109361.html;
		 http://www.cs.utoronto.ca/~pedmonds/cl-group/pubs/ps-files/Hirst+StOnge-Wordnet-95.ps.gz",
}

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  bibsource =	"DBLP,
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  pages =	"133--138",
}

@inproceedings{Resnik95,
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}

@InProceedings{Patwardhan03,
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  author =	"Siddharth Patwardhan and Satanjeev Banerjee and Ted
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  booktitle =	"Computational Linguistics and Intelligent Text
		 Processing, 4th International Conference, {CICL}ing
		 2003, Mexico City, Mexico, February 16-22, 2003,
		 Proceedings",
  publisher =	"Springer",
  year = 	"2003",
  volume =	"2588",
  editor =	"Alexander F. Gelbukh",
  ISBN = 	"3-540-00532-3",
  pages =	"241--257",
  series =	"Lecture Notes in Computer Science",
  URL =  	"http://link.springer.de/link/service/series/0558/bibs/2588/25880241.htm",
}

@inproceedings{Banerjee02,
  title =	"An Adapted Lesk Algorithm for Word Sense
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  author =	"Satanjeev Banerjee and Ted Pedersen",
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  bibdate =	"2002-02-06",
  bibsource =	"DBLP,
		 http://dblp.uni-trier.de/db/conf/cicling/cicling2002.html#BanerjeeP02",
  booktitle =	"CICLing",
  pages =	"136--145",
  URL =  	"http://link.springer.de/link/service/series/0558/bibs/2276/22760136.htm",
}

@article{Schutze98,
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  volume =	"24",
  bibdate =	"2002-01-03",
  bibsource =	"DBLP,
		 http://dblp.uni-trier.de/db/journals/coling/coling24.html#Schutze98",
  pages =	"97--123",
}

@Article{Deerwester90,
  author =	"Scott Deerwester and Susan T. Dumais and George W.
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} 

@inproceedings{Lin98,
  title =	"An Information-Theoretic Definition of Similarity",
  author =	"Dekang Lin",
  year = 	"1998",
  bibdate =	"2002-12-04",
  bibsource =	"DBLP,
		 http://dblp.uni-trier.de/db/conf/icml/icml1998.html#Lin98",
  booktitle =	"ICML",
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}

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		 classification systems",
}

@Book{Tikk07,
  author =	"Domonkos Tikk",
  title =	"Sz{\"o}vegb{\'a}ny{\'a}szat",
  publisher =	"Typotex",
  year = 	"2007",
  address =	"Budapest",
}

@Book{Jackson02,
  title =	"Natural Language Processing for Online Applications:
		 Text Retrieval, Extraction \& Categorization",
  author =	"Peter Jackson and Isabelle Moulinier",
  publisher =	"John Benjamins",
  year = 	"2002",
  bibdate =	"2003-07-16",
  ISBN = 	"90-272-4989-X",
  URL =  	"http://members.aol.com/JacksonPE/music1/nlp4olap.htm",
}

@InProceedings{Moschitti03,
  title =	"A Study on Optimal Parameter Tuning for Rocchio Text
		 Classifier",
  author =	"Alessandro Moschitti",
  bibdate =	"2003-04-30",
  bibsource =	"DBLP,
		 http://dblp.uni-trier.de/db/conf/ecir/ecir2003.html#Moschitti03",
  booktitle =	"Advances in Information Retrieval, 25th European
		 Conference on {IR} Research, {ECIR} 2003, Pisa, Italy,
		 April 14-16, 2003, Proceedings",
  publisher =	"Springer",
  year = 	"2003",
  volume =	"2633",
  editor =	"Fabrizio Sebastiani",
  ISBN = 	"3-540-01274-5",
  pages =	"420--435",
  series =	"Lecture Notes in Computer Science",
  URL =  	"http://link.springer.de/link/service/series/0558/bibs/2633/26330420.htm",
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@Book{Tatar03,
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  author =	"Doina T\u{a}tar",
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  year = 	"2003",
}

@Article{Yang94,
  title =	"An Example-Based Mapping Method for Text
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  year = 	"1994",
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  number =	"3",
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@InProceedings{Yang92,
  title =	"A Linear Least Squares Fit Mapping Method For
		 Information Retrieval From Natural Language Texts",
  author =	"Yiming Yang and Christopher G. Chute",
  year = 	"1992",
  bibdate =	"2004-06-24",
  bibsource =	"DBLP,
		 http://dblp.uni-trier.de/db/conf/coling/coling1992.html#YangC92",
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  URL =  	"http://acl.ldc.upenn.edu/C/C92/C92-2069.pdf",
}

@Misc{Rennie02,
  title =	"Not Too Hot, Not Too Cold: The Bundled-{SVM} is Just
		 Right!",
  author =	"Lawrence Shih and Yu-han Chang and Jason Rennie and
		 David Karger",
  year = 	"2002",
  month =	jul # "~10",
  abstract =	"The Support Vector Machine (SVM) typically outperforms
		 other algorithms on text classification problems, but
		 requires training time roughly quadratic in the number
		 of training documents. In contrast, linear time
		 algorithms like Naive Bayes have lower performance, but
		 can easily handle huge training sets. In this paper, we
		 describe a technique that creates a continuum of
		 classifiers between the SVM and a Naive Bayes like
		 algorithm.",
  annote =	"David Karger (Artificial Intelligence Laboratory ;
		 Massachusetts Institute of Technology ; Cambridge , MA
		 02139);",
  bibsource =	"OAI-PMH server at cs1.ist.psu.edu",
  language =	"en",
  oai =  	"oai:CiteSeerPSU:527366",
  rights =	"unrestricted",
  URL =  	"http://citeseer.ist.psu.edu/527366.html;
		 http://www.ai.mit.edu/~jrennie/papers/icml02-bundled.ps.gz",
}

@Misc{Voss05,
  author = {Jakob Voss},
  title = {Measuring Wikipedia},
  url = {http://www.citebase.org/abstract?id=oai:eprints.rclis.org:3610},
  year = {2005}
}

@article{Salton75,
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