Supervised Corpus-based Methods for Word Sense Disambiguation
Fuzzy-Rough Feature Significance for Fuzzy Decision Trees Advanced Reasoning Group Department of Computer Science The University of Wales, Aberystwyth.
Naive Bayes Presentation
Naïve Bayes Classifier
1 Short overview of Weka. Classifications Clusters Association rules Attribute selections Visualisation Weka: Explorer.
What we will cover here What is a classifier Difference of learning/training and classifying Math reminder for Naïve Bayes Tennis example = naïve Bayes.
Decision tree LING 572 Fei Xia 1/10/06. Outline Basic concepts Main issues Advanced topics.
Radosław Wesołowski Tomasz Pękalski, Michal Borkowicz, Maciej Kopaczyński 12-03-2008.
Incentive Compatible Regression Learning Ofer Dekel, Felix A. Fischer and Ariel D. Procaccia.
1 Scaling multi-class Support Vector Machines using inter- class confusion Author:Shantanu Sunita Sarawagi Sunita Sarawagi Soumen Chakrabarti Soumen Chakrabarti.
Stochastic Subgradient Approach for Solving Linear Support Vector Machines Jan Rupnik Jozef Stefan Institute.
PAC-Bayes Risk Bounds for Sample-Compressed Gibbs Classifiers
