New Learning Paradigms in Soft Computing

✍ Scribed by H. H. Yang, S. Amari (auth.), Professor Lakhmi C. Jain, Professor Janusz Kacprzyk (eds.)

• Publisher: Physica-Verlag Heidelberg
• Year: 2002
• Tongue: English
• Leaves: 476
• Series: Studies in Fuzziness and Soft Computing 84
• Edition: 1
• Category: Library

✦ Synopsis

Learning is a key issue in the analysis and design of all kinds of intelligent systems. In recent time many new paradigms of automated (machine) learning have been proposed in the literature. Soft computing, that has proved to be an effective and efficient tool in so many areas of science and technology, seems to offer new qualities in the realm of machine learning too. The purpose of this volume is to present some new learning paradigms that have been triggered, or at least strongly influenced by soft computing tools and techniques, mainly related to neural networks, fuzzy logic, rough sets, and evolutionary computations.

✦ Table of Contents

Front Matter....Pages I-XII
Statistical Learning by Natural Gradient Descent....Pages 1-29
Granular Networks and Granular Learning....Pages 30-54
Learning and Decision-Making in the Framework of Fuzzy Lattices....Pages 55-96
Lazy Learning: A Logical Method for Supervised Learning....Pages 97-136
Active Learning in Neural Networks....Pages 137-169
Knowledge Extraction from Reinforcement Learning....Pages 170-180
Reinforcement Learning for Fuzzy Agents: Application to a Pighouse Environment Control....Pages 181-230
Performance Comparisons of Neural Networks and Machine Learning Techniques: A Critical Assessment of the Methodology....Pages 231-250
Digital Systems Design Through Learning....Pages 251-275
Hybrid Inductive Machine Learning: An Overview of CLIP Algorithms....Pages 276-322
An Integer Programming Approach to Inductive Learning Using Genetic and Greedy Algorithms....Pages 323-367
Using Unlabeled Data for Learning Classification Problems....Pages 368-403
Problems of Rule Induction from Preterm Birth Data....Pages 404-418
Reduction of Discriminant Rules Based on Frequent Item Set Calculation....Pages 419-438
Deriving a Concise Description of Non-Self Patterns in an Artificial Immune System....Pages 439-464

✦ Subjects

Artificial Intelligence (incl. Robotics); Computational Intelligence