Slide 1 INTRODUCTION TO ARTIFICIAL INTELLIGENCE Massimo Poesio Machine Learning: Decision Trees Slide 2 A DEFINITION OF LEARNING: LEARNING AS IMPROVEMENT Learning denotes…
Slide 1 Statistical Classification Rong Jin Slide 2 Classification Problems X Input Y Output ? Given input X={x 1, x 2, …, x m } Predict the class label y Y Y = {-1,1},…
Slide 1 1 Hierarchical Classification of Documents with Error Control Chun-Hung Cheng, Jian Tang, Ada Wai-chee Fu, Irwin King This presentation will probably involve audience…
Slide 1 1 Decision Tree Learning Slide 2 Decision Trees Tree-based classifiers for instances represented as feature-vectors. Nodes test features, there is one branch for…
Object Orie’d Data Analysis, Last Time Kernel Embedding Embed data in higher dimensional manifold Gives greater flexibility to linear methods Support Vector Machines Aimed…
* Decision Tree Learning Soongsil University, Seoul Gun Ho Lee * Decision Tree Learning Introduction Decision Tree Representation Appropriate Problems for Decision Tree Learning…
GA-Based Feature Selection and Parameter Optimization for Support Vector Machine Cheng-Lung Huang, Chieh-Jen Wang Expert Systems with Applications, Volume 31, Issue 2, pp.231-240,…
580.691 Learning Theory Reza Shadmehr Linear and quadratic decision boundaries Kernel estimates of density Missing data Bayesian classification Suppose we wish to classify…