CTSFitter Update
1 Chapter 18 Learning from Observations Decision tree examples Additional source used in preparing the slides: Jean-Claude Latombe’s CS121 slides: robotics.stanford.edu/~latombe/cs121.
For Friday Read chapter 18, sections 3-4 Homework: –Chapter 14, exercise 12 a, b, d.
© Tan,Steinbach, Kumar Introduction to Data Mining 4/18/2004 1 Other Classification Techniques 1.Nearest Neighbor Classifiers 2.Support Vector Machines.
© Tan,Steinbach, Kumar Introduction to Data Mining 4/18/2004 1 Ensemble Methods l An ensemble method constructs a set of base classifiers from the training.
Machine Learning: Symbol-based
For Monday
CS B351: Decision Trees
1 Machine Learning: Symbol-based 10b 10.0Introduction 10.1A Framework for Symbol-based Learning 10.2Version Space Search 10.3The ID3 Decision Tree Induction.
Ensembles—Combining Multiple Learners For Better Accuracy Reading Material Ensembles: 1. (optional).
For Monday No reading Homework: –Chapter 18, exercises 1 and 2.
