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1 Preliminaries
2 Boolean Functions
3 Using Version Spaces for Learnin
4 Neural Networks
5 Statistical Learning
6 Decision Trees
7 Inductive Logic Programming
8 Computational Learning Theory
9 Unsupervised Learning
10 Temporal-Di erence Learning
11 Delayed-Reinforcement Learning
12 Explanation-Based Learning
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INTRODUCTION TO MACHINE LEARNING
AN EARLY DRAFT OF A PROPOSED
Nils J. Nilsson
AN EARLY DRAFT OF A PROPOSED
Nils J. Nilsson
Table of Contents
2 Boolean Functions
3 Using Version Spaces for Learnin
4 Neural Networks
5 Statistical Learning
6 Decision Trees
7 Inductive Logic Programming
8 Computational Learning Theory
9 Unsupervised Learning
10 Temporal-Di erence Learning
11 Delayed-Reinforcement Learning
12 Explanation-Based Learning
Note: When you open MultiHost link below to MultiHost you can find 4 file hosting sites links in which you can download with your desired hosting site
Click Here To Download
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