Ember and containers
Ch 9-1.Machine Learning: Symbol-based
Peo law & goverance
Furcht Discipline Report at the University of Minnesota
Supervised Machine Learning: A Review of Classification Techniques
© Paul Kantor 2002 A Potpurri of topics Paul Kantor Project overview and cartoon How we did at TREC this year Generalized Performance Plots Remarks on.
11 Chapter 20 Computational Lexical Semantics. Supervised Word-Sense Disambiguation (WSD) Methods that learn a classifier from manually sense-tagged text.
Joseph P. Winnick and Barry W. Lavay chapter 20 Perceptual–Motor Development.
1 Machine Learning: Symbol-based 10a 10.0Introduction 10.1A Framework for Symbol-based Learning 10.2Version Space Search 10.3The ID3 Decision Tree Induction.
1 Chapter 19 Knowledge in Learning Version spaces examples Additional sources used in preparing the slides: Jean-Claude Latombe’s CS121 slides: robotics.stanford.edu/~latombe/cs121.
1 Data Mining Chapter 2 Input: Concepts, Instances, and Attributes Kirk Scott.
