Algorithmic Learning for Knowledge-Based Systems

Gosler Final Report

By: Klaus P. Jantke (Editor), Steffen Lange (Editor)

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Paperback | 9 August 1995

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This book is the final report on a comprehensive basic research project, named GOSLER on algorithmic learning for knowledge-based systems supported by the German Federal Ministry of Research and Technology during the years 1991 - 1994. This research effort was focused on the study of fundamental learnability problems integrating theoretical research with the development of tools and experimental investigation.
The contributions by 11 participants in the GOSLER project is complemented by contributions from 23 researchers from abroad. Thus the volume provides a competent introduction to algorithmic learning theory.

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Non-Fiction Computing & I.T.Computer Programming & Software Development Algorithms & Data Structures Computer Science Artificial Intelligence Expert Systems & Knowledge-Based Systems Mathematics Mathematical Foundation Mathematical Logic Mathematical Theory of Computation Machine Learning

Learning and Consistency	p. 1
Error Detecting in Inductive Inference	p. 25
Learning from Good Examples	p. 49
Towards Reduction Arguments for FINite Learning	p. 63
Not-So-Nearly-Minimal-Size Program Inference	p. 76
Optimization Problem in Inductive Inference	p. 96
On Identification by Teams and Probabilistic Machines	p. 108
Topological Considerations in Composing Teams of Learning Machines	p. 146
Probabilistic versus Deterministic Memory Limited Learning	p. 155
Classification Using Information	p. 162
Classifying Recursive Predicates and Languages	p. 174
A Guided Tour Across the Boundaries of Learning Recursive Languages	p. 190
Pattern Inference	p. 259
Inductive Learning of Recurrence-Term Languages from Positive Data	p. 292
Learning Formal Languages Based on Control Sets	p. 316
Learning in Case-Based Classification Algorithms	p. 340
Optimal Strategies - Learning from Examples - Boolean Equations	p. 363
Feature Construction during Tree Learning	p. 391
On Lower Bounds for the Depth of Threshold Circuits with Weights from {-1,0,+1}	p. 404
Structuring Neural Networks and PAC-Learning	p. 417
Inductive Synthesis of Rewrite Programs	p. 435
T[subscript L]P[superscript S] - a Term Rewriting Laboratory (not only) for Experiments in Automatic Program Synthesis	p. 467
GoslerP - A Logic Programming Tool for Inductive Inference	p. 482
Author Index	p. 511
Table of Contents provided by Blackwell. All Rights Reserved.

Algorithmic Learning for Knowledge-Based Systems

Gosler Final Report

At a Glance

Paperback

Shipping

How to return your order

Defective items

You Can Find This Book In

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