ICDM'05 - Session 10: Learning Techniques I A Framework for Semi-Supervised Learning based on Subjective and Objective Clustering Criteria Maria Halkidi Dimitrios Gunopulos Nitin Kumar Michalis Vazirgiannis Carlotta Domeniconi Improving Automatic Query Classification via Semi-supervised Learning, Steven Beitzel Eric Jensen David Lewis Abdur Chowdhury Aleksander Kolcz Ophir Frieder Supervised Ordering --- An Empirical Survey Toshihiro Kamishima Hideto Kazawa Shotaro Akaho A Preference Model for Structured Supervised Learning Tasks Fabio Aiolli Learning Instance Greedily Cloning Naive Bayes for Ranking Liangxiao Jiang Harry Zhang X-mHMM: An Efficient Algorithm for Training Mixtures of HMMs when the Number of Mixtures is Unknown ZoltáSzamonek Csaba Szepesvá Supervised Tensor Learning Dacheng Tao Xuelong Li Weiming Hu Stephen Maybank Xindong Wu Return to ICDM'05 session listing ©2006 Association for Computing Machinery