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Judge: a case-based reasoning system
[full citation]
William M. Bain
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Changing language while learning recursive descriptions from examples
[full citation]
Ranan B. Banerji
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Learning by disjunctive spanning
[full citation]
Gary L. Bradshaw
|
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Transfer of knowledge between teaching and learning systems
[full citation]
P. Brazdil
|
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Some approaches to knowledge acquistion
[full citation]
Bruce G. Buchanan
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Analogical learning with multiple models
[full citation]
Mark H. Burstein
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The world modelers project: objectives and simulator architecture
[full citation]
Jaime Carbonell, Greg Hood
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The acquisition of procedural knowledge through inductive learning
[full citation]
Kaihu Chen
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Learning static evaluation functions by linear regression
[full citation]
Jens Christensen
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Plan invention and plan transformation
[full citation]
Gregg C. Collins
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A brief overview of explanatory schema acquisition
[full citation]
Gerald Dejong
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The EG project: recent progress
[full citation]
Thomas G. Dietterich
|
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Learning causal relations
[full citation]
Richard J. Doyle
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Functional properties and concept formation
[full citation]
J. Daniel Easterlin
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Explanation-based learning in logic circuit design
[full citation]
Thomas Ellman
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A proposed method of conceptual clustering for structured and decomposable objects
[full citation]
Douglas Fisher
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| |
Exploiting functional vocabularies to learn structural descriptions
[full citation]
Nicholas S. Flann, Thomas G. Dietterich
|
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| |
Combining numeric and symbolic learning techniques
[full citation]
Richard H. Granger, Jr., Jeffrey C. Schlimmer
|
|
| |
Learning by understanding analogies
[full citation]
Russell Greiner
|
|
| |
Analogical reasoning in the context of acquiring problem solving expertise
[full citation]
Rogers Hall
|
|
| |
Planning and learning in a design domain: the problems plan interactions
[full citation]
Kristian J. Hammond
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| |
Inference of incorrect operators
[full citation]
Haym Hirsh, Derek Sleeman
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A conceptual framework for concept identification
[full citation]
Robert C. Holte
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| |
Neural modeling as one approach to machine learning
[full citation]
Greg Hood
|
|
| |
Steps toward building a dynamic memory
[full citation]
Larry Hunter
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Learning by composition
[full citation]
Glenn A. Iba
|
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| |
Knowledge acquisition: investigations and general principles
[full citation]
Gary S. Kahn
|
|
| |
Purpose-directed analogy: a summary of current research
[full citation]
Smadar Kedar-Cabelli
|
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| |
Development of a framework for contextual concept learning
[full citation]
Richard M. Keller
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On safely ignoring hypotheses
[full citation]
Kevin T. Kelly
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A model of acquiring problem solving expertise
[full citation]
Dennis Kibler, Rogers P. Hall
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Another learning problem: symbolic process prediction
[full citation]
Heedong Ko
|
|
| |
Learning at LRI ORSAY
[full citation]
Yves Kodratoff
|
|
| |
COPER: a methodology for learning invariant functional descriptions
[full citation]
Mieczyslaw M. Kokar
|
|
| |
Using experience as a guide for problem solving
[full citation]
Janet L. Kolodner, Robert L. Simpson
|
|
| |
Heuristics as invariants and its application to learning
[full citation]
Richard E. Korf
|
|
| |
Components of learning in a reactive environment
[full citation]
Pat Langley, Dennis Kibler, Richard Granger
|
|
| |
The development of structures through interaction
[full citation]
Robert W. Lawler
|
|
| |
Complex learning environments: hierarchies and the use of explanation
[full citation]
Michael Lebowitz
|
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| |
Prediction and control in an active environment
[full citation]
Alan J. MacDonald
|
|
| |
Better information retrieval through linguistic sophistication
[full citation]
Michael L. Mauldin
|
|
| |
Machine learning research in the artificial intelligence laboratory at Illinois
[full citation]
Ryszard S. Michalski
|
|
| |
Overview of the prodigy learning apprentice
[full citation]
Steven Minton
|
|
| |
A learning apprentice system for VLSI design
[full citation]
Tom M. Mitchell, Sridhar Mahadevan, Louis I. Steinberg
|
|
| |
Generalizing explanations of narratives into schemata
[full citation]
Raymond J. Mooney
|
|
| |
Why are design derivations hard to replay?
[full citation]
Jack Mostow
|
|
| |
An architecture for experiential learning
[full citation]
Michael C. Mozer, Klaus P. Gross
|
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| |
Knowledge extraction through learning from examples
[full citation]
Igor Mozetic
|
|
| |
Learning concepts with a prototype-based model for concept representation
[full citation]
Donna J. Nagel
|
|
| |
Recent progress on the mathematician's apprentice project
[full citation]
Paul O'Rorke
|
|
| |
Acquiring domain knowledge from fragments of advice
[full citation]
Bruce W. Porter, Ray Bareiss, Adam Farquhar
|
|
| |
CALM: contestation for argumentative learning machine
[full citation]
J. Quinqueton, J. Sallantin
|
|
| |
Directed experimentation for theory revision and conceptual knowledge acquisition
[full citation]
Shankar A. Rajamoney
|
|
| |
Goal-free learning by analogy
[full citation]
Alain Rappaport
|
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| |
A scientific approach to practical induction
[full citation]
Larry Rendell
|
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| |
Exploring shifts of representation
[full citation]
Patricia J. Riddle
|
|
| |
Current research on learning in Soar
[full citation]
Paul S. Rosenbloom, John E. Laird, Allen Newell, Andrew Golding, Amy Unruh
|
|
| |
Learning concepts in a complex robot world
[full citation]
Claude Sammut, David Hume
|
|
| |
Learning evaluation functions
[full citation]
Patricia A. Schooley
|
|
| |
Learning from data with errors
[full citation]
Jakub Segen
|
|
| |
Explanation-based manipulator learning
[full citation]
Alberto Maria Segre
|
|
| |
Learning classical physics
[full citation]
Jude W. Shavlik
|
|
| |
Views and causality in discovery: modelling human induction
[full citation]
Jeff Shrager
|
|
| |
Learning control information
[full citation]
Bernard Silver
|
|
| |
An investigation of the nature of mathematical discovery
[full citation]
Michael H. Sims
|
|
| |
Learning how to reach a goal: a strategy for the multiple classes classification problem
[full citation]
Henri Soldano, Hélène Pigot
|
|
| |
Conceptual clustering of structured objects
[full citation]
R. E. Stepp
|
|
| |
Learning in intractable domains
[full citation]
Prasad V. Tadepalli
|
|
| |
On compiling explainable models of a design domain
[full citation]
Christgpher Tong
|
|
| |
What can be learned?
[full citation]
L. G. Valiant
|
|
| |
Learning heuristic rules from deep reasoning
[full citation]
Walter Van de Velde
|
|
| |
Learning a domain theory by completing explanations
[full citation]
Kurt VanLehn
|
|
| |
Learning implementation rules with operating-conditions depending on internal structures in VLSI design
[full citation]
Masanobu Watanabe
|
|
| |
Overview of the Odysseus learning apprentice
[full citation]
David C. Wilkins, William J. Clancey, Bruce G. Buchanan
|
|
| |
Learning from exceptions in databases
[full citation]
Keith E. Williamson
|
|
| |
Learning apprentice systems research at Schlumberger
[full citation]
Howard Winston, Reid Smith, Michael Kleyn, Tom Mitchell, Bruce Buchanan
|
|
| |
Language acquisition: learning phrases in context
[full citation]
Uri Zernik, Michael Dyer
|
|
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