Encyclopedia of Machine Learning

Table of contents (892 entries)

1. A

   1. 

      Reference Work Entry

      Pages 49-51

      Associative Reinforcement Learning

      Alexander L. Strehl

   2. 

      Reference Work Entry

      Pages 51-53

      Attribute

      Chris Drummond

   3. 

      Reference Work Entry

      Pages 53-53

      Attribute Selection

   4. 

      Reference Work Entry

      Pages 53-53

      Attribute-Value Learning

   5. 

      Reference Work Entry

      Pages 53-53

      AUC

   6. 

      Reference Work Entry

      Pages 53-61

      Autonomous Helicopter Flight Using Reinforcement Learning

      Adam Coates, Pieter Abbeel, Andrew Y. Ng

   7. 

      Reference Work Entry

      Pages 63-63

      Average-Cost Neuro-Dynamic Programming

   8. 

      Reference Work Entry

      Pages 63-63

      Average-Cost Optimization

   9. 

      Reference Work Entry

      Pages 63-64

      Averaged One-Dependence Estimators

      Fei Zheng, Geoffrey I. Webb

   10. 

       Reference Work Entry

       Pages 64-64

       Average-Payoff Reinforcement Learning

   11. 

       Reference Work Entry

       Pages 64-68

       Average-Reward Reinforcement Learning

       Prasad Tadepalli

2. B

   1. 

      Reference Work Entry

      Pages 69-73

      Backprop

   2. 

      Reference Work Entry

      Pages 73-73

      Backpropagation

      Paul Munro

   3. 

      Reference Work Entry

      Pages 73-73

      Bagging

   4. 

      Reference Work Entry

      Pages 73-73

      Bake-Off

   5. 

      Reference Work Entry

      Pages 73-73

      Bandit Problem with Side Information

   6. 

      Reference Work Entry

      Pages 73-73

      Bandit Problem with Side Observations

   7. 

      Reference Work Entry

      Pages 73-73

      Basic Lemma

   8. 

      Reference Work Entry

      Pages 74-74

      Basket Analysis

      Hannu Toivonen

   9. 

      Reference Work Entry

      Pages 74-74

      Batch Learning