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Home > Machine Learning Proceedings 1993 > Explanation Based Learning: A Comparison of Symbolic and Neural Network Approaches
Machine Learning Proceedings 1993 |
Machine Learning
Morgan Kaufmann
Machine Learning Proceedings 1993
Explanation Based Learning: A Comparison of Symbolic and Neural Network Approaches
Authors

Tom M. Mitchell; Sebastian B. Thrun

ARI Id

1665482226412_16966667

Access

Open/Free Access

Table of Contents of Book
Showing 1 to 20 of 44 entries
Chapters/HeadingsAuthor(s)PagesInfo
The Evolution of Genetic Algorithms: Towards Massive Parallelism
Shumeet Baluja
éLéNA: A BOTTOM-UP LEARNING METHOD
Pierre Brézellec; Henry Soldano
Addressing the Selective Superiority Problem: Automatic Algorithm/Model Class Selection
Carla E. Brodley
Using Decision Trees to Improve Case-Based Learning
Claire Cardie
GALOIS: An order-theoretic approach to conceptual clustering
Claudio Carpineto; Giovanni Romano
Multitask Learning: A Knowledge-Based Source of Inductive Bias
Richard A. Caruana
Using Qualitative Models to Guide Inductive Learning
Peter Clark; Stan Matwin
Automating Path Analysis for Building Causal Models from Data
Paul R. Cohen; Adam Carlson; Lisa Ballesteros; Robert St.Amant
Constructing Hidden Variables in Bayesian Networks via Conceptual Clustering
Dennis Connolly
Learning Symbolic Rules Using Artificial Neural Networks
Mark W. Craven; Jude W. Shavlik
Small Disjuncts in Action: Learning to Diagnose Errors in the Local Loop of the Telephone Network
Andrea Pohoreckyj Danyluk; Foster John Provost
Concept Sharing: A Means to Improve Multi-Concept Learning
Piew Datta; Dennis Kibler
Discovering Dynamics
Sašo Džeroski; Ljupčo Todorovski
Synthesis of Abstraction Hierarchies for Constraint Satisfaction by Clustering Approximately Equivalent Objects
Thomas Ellman
SKICAT: A Machine Learning System for Automated Cataloging of Large Scale Sky Surveys
Usama M. Fayyad; Nicholas Weir; S. Djorgovski
Learning From Entailment: An Application to Propositional Horn Sentences
Michael Frazier; Leonard Pitt
Efficient Domain-Independent Experimentation
Yolanda Gil
Learning Search Control Knowledge for Deep Space Network Scheduling
Jonathan Gratch; Steve Chien; Gerald Dejong
Learning procedures from interactive natural language instructions
Scott B. Huffman; John E. Laird
Generalization under Implication by Recursive Anti-unification
Peter Idestam-Almquist
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 44 entries
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