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Rigel: An Inductive Learning System
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-19402-9_70openalex-snapshot
Controlling inductive search in rigel learning system
inferredcites →https://doi.org/10.1007/978-1-4613-1007-5_14openalex-snapshot
A Dynamic Programming Approach to Knowledge Based Contour Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-21852-6_3openalex-snapshot
On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
inferredcites →https://doi.org/10.1007/978-3-662-12405-5_4openalex-snapshot
A Theory and Methodology of Inductive Learning
inferredcites →https://doi.org/10.1007/bf00114116openalex-snapshot
Explanation-Based Learning: An Alternative View
inferredcites →https://doi.org/10.1007/bf00114802openalex-snapshot
Learning Conjunctive Concepts in Structural Domains
inferredcites →https://doi.org/10.1007/bf00116250openalex-snapshot
Explanation-based generalization: A unifying view
inferredcites →https://doi.org/10.1016/0004-3702(80)90038-7openalex-snapshot
Multilevel counterfactuals for generalizations of relational concepts and productions
inferredcites →https://doi.org/10.1016/0004-3702(82)90040-6openalex-snapshot
Generalization as search
inferredcites →https://doi.org/10.1016/0004-3702(88)90002-1openalex-snapshot
Quantifying inductive bias: AI learning algorithms and Valiant's learning framework
inferredcites →https://doi.org/10.1016/0022-2496(83)90037-8openalex-snapshot
Machine learning: An artificial intelligence approach
inferredcites →https://doi.org/10.1016/0022-2496(87)90031-9openalex-snapshot
Machine learning: An artificial intelligence approach (vol. 2)
inferredcites →https://doi.org/10.1016/0031-3203(76)90020-0openalex-snapshot
The psychology of computer vision
inferredcites →https://doi.org/10.1016/0167-7136(83)90132-4openalex-snapshot
A theory and methodology of inductive learning
inferredcites →https://doi.org/10.1016/b978-0-08-051055-2.50026-2openalex-snapshot
GUIDING INDUCTION WITH DOMAIN THEORIES11This chapter is a longer version of a paper printed in Proceedings of the Fifth International Conference on Machine Learning, 1988, Morgan Kaufmann Publishers, San Mateo, CA
inferredcites →https://doi.org/10.1016/b978-0-934613-03-3.50040-4openalex-snapshot
Generalization as Search
inferredcites →https://doi.org/10.1016/b978-0-934613-41-5.50037-4openalex-snapshot
Recent Results on Boolean Concept Learning
inferredcites →https://doi.org/10.1016/b978-0-934613-64-4.50013-xopenalex-snapshot
Trading Off Simplicity and Coverage in Incremental Concept Learning
inferredcites →https://doi.org/10.1016/b978-0-934613-64-4.50017-7openalex-snapshot
ID5: An Incremental ID3
inferredcites →https://doi.org/10.1016/b978-0-934613-64-4.50037-2openalex-snapshot
A KNOWLEDGE INTENSIVE APPROACH TO CONCEPT INDUCTION
inferredcites →https://doi.org/10.1016/b978-1-4832-1446-7.50034-0openalex-snapshot
Explanation-Based Generalization: A Unifying View
inferredcites →https://doi.org/10.1016/s0364-0213(86)80005-2openalex-snapshot
Integrated Learning: Controlling Explanation
inferredcites →https://doi.org/10.1023/a:1022691120807openalex-snapshot
Explanation-Based Generalization: A Unifying View
inferredcites →https://doi.org/10.1109/34.3917openalex-snapshot
Automated concept acquisition in noisy environments
inferredcites →https://doi.org/10.1109/tpami.1979.4766943openalex-snapshot
Capacity and Error Estimates for Boolean Classifiers with Limited Complexity
inferredcites →https://doi.org/10.1109/tpami.1980.4767034openalex-snapshot
Pattern Recognition as Rule-Guided Inductive Inference
inferredcites →https://doi.org/10.1137/1116025openalex-snapshot
On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
inferredcites →https://doi.org/10.1145/359488.359503openalex-snapshot
An interference matching technique for inducing abstractions
inferredcites →https://doi.org/10.13021/mars/3357openalex-snapshot
The AQ15 Inductive Learning System: An Overview and Experiments
inferredcites →https://doi.org/10.13021/mars/3469openalex-snapshot
INDUCE 2: A Program for Learning Structural Descriptions from Examples
inferredcites →https://doi.org/10.13021/mars/3477openalex-snapshot
Incremental Generation of VL1 Hypotheses: The Underlying Methodology and the Description of Program AQ11
inferredcites →https://doi.org/10.13021/mars/3588openalex-snapshot
How to Structure Structured Objects
inferredcites →https://doi.org/10.3233/fi-1989-12104openalex-snapshot
ML-SMART: A Problem Solver for Learning from Examples
inferredcites →https://doi.org/10.7551/mitpress/5605.001.0001openalex-snapshot
Production System Models of Learning and Development
inferredcites →https://doi.org/10.7551/mitpress/5605.003.0005openalex-snapshot
A General Theory of Discrimination Learning
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/ett.4460030507openalex-snapshot
On the need for integrated approaches to image understanding
inferred← citeshttps://doi.org/10.1007/3-540-62858-4_73openalex-snapshot
θ-subsumption for structural matching
inferred← citeshttps://doi.org/10.1007/3-540-63576-9_103openalex-snapshot
Learning relational concepts at different levels of granularity
inferred← citeshttps://doi.org/10.1007/3-540-63576-9_93openalex-snapshot
Handling continuous data in top-down induction of first-order rules
inferred← citeshttps://doi.org/10.1016/b978-1-55860-247-2.50027-9openalex-snapshot
Learning Structured Concepts Using Genetic Algorithms
inferred← citeshttps://doi.org/10.1023/a:1007361708126openalex-snapshot
Integrating Multiple Learning Strategies in First Order Logics
inferred← citeshttps://doi.org/10.1023/a:1008735902918openalex-snapshot
Machine Learning for Intelligent Processing of Printed Documents
inferred← citeshttps://doi.org/10.1080/08839519408945431openalex-snapshot
CAN MACHINE LEARNING SOLVE MY PROBLEM?
inferred← citeshttps://doi.org/10.1109/21.229448openalex-snapshot
A semiautomated methodology for knowledge elicitation
inferred← citeshttps://doi.org/10.1109/69.204088openalex-snapshot
ENIGMA: a system that learns diagnostic knowledge
inferred← citeshttps://doi.org/10.1109/fuzzy.1993.327470openalex-snapshot
Learning fuzzy concept definitions
inferred← citeshttps://doi.org/10.1109/fuzzy.1998.686244openalex-snapshot
Learning fuzzy relational descriptions using the logical framework and rough set theory
inferred← citeshttps://doi.org/10.1109/icc.1992.267979openalex-snapshot
Using a machine learning tool in diagnosis of network overload
inferred← citeshttps://doi.org/10.1109/tai.1994.346425openalex-snapshot
Explicit versus implicit set-covering for supervised learning
inferred← citeshttps://doi.org/10.1162/evco.1995.3.4.375openalex-snapshot
Search-Intensive Concept Induction
inferred← citeshttps://doi.org/10.3109/10601333.2010.499912openalex-snapshot
Fluticasone propionate/salmeterol combination in children with asthma: Key cardiac and overall safety results
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