Combining Inductive and Analytical Learning

This talk is based on

• Tom M. Mitchell. Machine Learning. McGraw Hill. 1997. Chapter 12.
• and his slides.

1. 1 Motivation**
   1. 1.1 What We Want
2. 2 The Learning Problem
   1. 2.1 Best Fits?**
   2. 2.2 Hypothesis Space Search*
3. 3 KBANN
   1. 3.1 KBANN Algorithm
   2. 3.2 KBANN Example
   3. 3.3 KBANN Example Network
   4. 3.4 After Training
   5. 3.5 KBANN Results
   6. 3.6 Hypothesis Space Search
4. 4 TangentProp
   1. 4.1 TangentProp Example***
   2. 4.2 TangentProp Search
5. 5 EBNN
   1. 5.1 EBNN Example
   2. 5.2 EBNN Summary
6. 6 FOCL***
   1. 6.1 FOCL Example
   2. 6.2 FOCL Search

Entire Presentation with Notes

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Copyright © 2009 José M. Vidal . All rights reserved.

17 April 2003, 12:26PM