Combining Inductive and Analytical Learning

This talk is based on

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

1 Motivation**
1. 1.1 What We Want
2 The Learning Problem
1. 2.1 Best Fits?**
2. 2.2 Hypothesis Space Search *
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 TangentProp
1. 4.1 TangentProp Example ***
2. 4.2 TangentProp Search
5 EBNN
1. 5.1 EBNN Example
2. 5.2 EBNN Summary
6 FOCL***
1. 6.1 FOCL Example
2. 6.2 FOCL Search

All in one page
Index on left