.ppt
Semi-supervised Learning
Introduction to Information Retrieval Introduction to Information Retrieval Lecture 10: Text Classification; The Naive Bayes algorithm.
PAC Learning 8/5/2005. purpose Effort to understand negative selection algorithm from totally different aspects –Statistics –Machine learning What is.
1 Information Retrieval CSE 454. Administrivia Project & Group Status –How many need group (or have group, but need more teammates?) –Which groups are.
K-Means
Text categorization
Multilabel Things
SVM — Support Vector Machines A new classification method for both linear and nonlinear data It uses a nonlinear mapping to transform the original training.
807 - TEXT ANALYTICS Massimo Poesio Lecture 3: Text Classification.
ECML 2001 A Framework for Learning Rules from Multi-Instance Data Yann Chevaleyre and Jean-Daniel Zucker University of Paris VI – LIP6 - CNRS.
