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Real valued target function - PowerPoint PPT Presentation

Instance based learning

Instance based learning. ???????. ??????. ?? T. Mitchell Machine learning. Topics. Introduction k-Nearest Neighbor Learning (kNN) Locally Weighted Regression(LWR) Radial Basis Function (RBF) IBL--NNet Case-Based Reasoning (CBR) Conclusion. IBL: Basic Idea. Key idea:

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Chapter Eight Instance Based Learning

Chapter Eight Instance Based Learning. Machine Learning Tom M. Mitchell. Outline. Introduction K-Nearest Neighbor Locally Weighted Regression Radial Basis Functions Case-Based Reasoning Lazy and Eager Learning. What Is Instance Based Learning.

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Thursday, 05 April 2007 William H. Hsu Department of Computing and Information Sciences, KSU

Lecture 31 of 42. Instance-Based Learning (IBL): k-NN, RBFs Intro to Rule Learning. Thursday, 05 April 2007 William H. Hsu Department of Computing and Information Sciences, KSU http://www.cis.ksu.edu/~bhsu Readings: Rest of Chapter 8, Mitchell First half of Chapter 10, Mitchell.

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Real valued target function - PowerPoint PPT Presentation

Instance based learning

Chapter Eight Instance Based Learning

Thursday, 05 April 2007 William H. Hsu Department of Computing and Information Sciences, KSU