Past seminar topics/presentations

• Machine learning in finance - Portfolio Theory,
  Mihály Andor
  (15. Dec. 2006) PDF
  "Elem. of Information Theory", Ch. 16
• GOOGLE and the PageRank algorithm
  Székely Endre
  (15. Dec. 2006) -draft- -draft-
• 3D image reconstruction using A.I techniques
  Máté István
  (22. Dec. 2006) -draft- -draft-
• Gaussian mixture models and the EM algorithm
  Puskás János
  (11. Jan. 2007) PDF
• Linear Models for Classification
  Szilágyi Róbert
  (11. Jan. 2007) - - none - -
  "The Elem. of Stat. Learning", Ch. 4
• Kalman Filters for determining robot position
  Cerny Melinda, Adorjáni Alpár
  (11. Jan. 2007) - - none - -
  "Application of Kalman Filters to robot Localisation"
• Bioinformatics
  Bódis Klára
  (11. Jan. 2007) - - none - -
  "Bioinformatics, the Machine Learning Approach"
• Splines and applications
  Bágyi Ibolya
  (11. Jan. 2007) -draft-
  "The Elem. of Stat. Learning", Ch. 5
• Blind Source Separation
  Zakariás Mátyás
  (11. Jan. 2007) -very draft-
  "The Elem. of Stat. Learning", Ch. 5
• Machine learning in finance - Forecasting with Neural Networks
  Heindrich Henrietta, Rist Evelin
  (18. Jan. 2007) -very draft-
• Gaussian process regression
  Bernád Emõke
  (18. Jan. 2007) PDF
  "Gaussian Processes in Machine Learning"
• Boosting methods, an introduction
  Kelemen Zsolt, Benk Erika
  (18. Jan. 2007) -draft-
  "The Elem. of Stat. Learning", Ch. 10
• Boosting methods, an introduction
  Máthé Zoltán, Kõrösi Zoltán
  (18. Jan. 2007) -draft-
• Clustering and methods for unsupervised learning
  
  Potyó László
  (18. Jan. 2007) -draft-