عنوان

Machine Learning:

(Number (ISBN

3540475680

(Number (ISBN

3540564837

(Number (ISBN

9783540475682

(Number (ISBN

9783540564836

Number

b566221

Title Proper

Machine Learning:

General Material Designation

[Book]

Other Title Information

From Theory to Applications : Cooperative Research at Siemens and MIT

First Statement of Responsibility

edited by Stephen José Hanson, Werner Remmele, Ronald L. Rivest.

Place of Publication, Distribution, etc.

Berlin, Heidelberg

Name of Publisher, Distributor, etc.

Springer Berlin Heidelberg

Date of Publication, Distribution, etc.

1993

Specific Material Designation and Extent of Item

(VIII, 276 p. :)

Series Title

Lecture notes in computer science, 661.

Text of Note

Strategic directions in machine learning --; Training a 3-node neural network is NP-complete --; Cryptographic limitations on learning Boolean formulae and finite automata --; Inference of finite automata using homing sequences --; Adaptive search by learning from incomplete explanations of failures --; Learning of rules for fault diagnosis in power supply networks --; Cross references are features --; The schema mechanism --; L-ATMS: A tight integration of EBL and the ATMS --; Massively parallel symbolic induction of protein structure/function relationships --; Task decomposition through competition in a modular connectionist architecture: The what and where vision tasks --; Phoneme discrimination using connectionist networks --; Behavior-based learning to control IR oven heating: Preliminary investigations --; Trellis codes, receptive fields, and fault tolerant, self-repairing neural networks.

Text of Note

This volume includes some of the key research papers in the area of machine learning produced at MIT and Siemens during a three-year joint research effort. It includes papers on many different styles of machine learning, organized into three parts. Part I, theory, includes three papers on theoretical aspects of machine learning. The first two use the theory of computational complexity to derive some fundamental limits on what isefficiently learnable. The third provides an efficient algorithm for identifying finite automata. Part II, artificial intelligence and symbolic learning methods, includes five papers giving an overview of the state of the art and future developments in the field of machine learning, a subfield of artificial intelligence dealing with automated knowledge acquisition and knowledge revision. Part III, neural and collective computation, includes five papers sampling the theoretical diversity and trends in the vigorous new research field of neural networks: massively parallel symbolic induction, task decomposition through competition, phoneme discrimination, behavior-based learning, and self-repairing neural networks.

Computer science.

Computers.

Microprocessors.

Class number

Book number

edited by Stephen José Hanson, Werner Remmele, Ronald L. Rivest.

Ronald L Rivest

Stephen José Hanson

Werner Remmele

Electronic name

[Book]

Y