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Generalizing Version Spaces

https://doi.org/10.1007/bf00993863
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4613-1557-5openalex-snapshot
Incremental Version-Space Merging: A General Framework for Concept Learning
inferredcites →https://doi.org/10.1007/978-1-4613-2283-2openalex-snapshot
Machine Learning of Inductive Bias
inferredcites →https://doi.org/10.1007/978-3-662-12405-5openalex-snapshot
Machine Learning
inferredcites →https://doi.org/10.1007/978-3-662-12405-5_4openalex-snapshot
A Theory and Methodology of Inductive Learning
inferredcites →https://doi.org/10.1007/978-3-662-12405-5_6openalex-snapshot
LEARNING BY EXPERIMENTATION: ACQUIRING AND REFINING PROBLEM-SOLVING HEURISTICS
inferredcites →https://doi.org/10.1007/bf00058680openalex-snapshot
Learning Decision Lists
inferredcites →https://doi.org/10.1007/bf00058754openalex-snapshot
A Version Space Approach to Learning Context-free Grammars
inferredcites →https://doi.org/10.1007/bf00116250openalex-snapshot
Explanation-based generalization: A unifying view
inferredcites →https://doi.org/10.1007/bf00993254openalex-snapshot
The Utility of Knowledge in Inductive Learning
inferredcites →https://doi.org/10.1016/0002-9149(83)90135-2openalex-snapshot
Mechanisms of closure of perimembranous ventricular septal defect
inferredcites →https://doi.org/10.1016/0004-3702(82)90040-6openalex-snapshot
Generalization as search
inferredcites →https://doi.org/10.1016/0004-3702(83)90016-4openalex-snapshot
A theory and methodology of inductive learning
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/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/b978-0-12-737550-2.50019-1openalex-snapshot
MODEL-DIRECTED LEARNING OF PRODUCTION RULES11This work was supported by the Advanced Research Projects Agency under contract DAHC 15-73-C-0435, and by the National Institutes of Health under grant RR 00612–07.
inferredcites →https://doi.org/10.1016/b978-0-86576-091-2.50009-5openalex-snapshot
Learning and Inductive Inference
inferredcites →https://doi.org/10.1016/b978-0-934613-03-3.50040-4openalex-snapshot
Generalization as Search
inferredcites →https://doi.org/10.1016/b978-1-55860-036-2.50029-1openalex-snapshot
ERROR CORRECTION IN CONSTRUCTIVE INDUCTION
inferredcites →https://doi.org/10.1016/c2013-0-07691-8openalex-snapshot
The Handbook of Artificial Intelligence
inferredcites →https://doi.org/10.1016/s0364-0213(86)80005-2openalex-snapshot
Integrated Learning: Controlling Explanation
inferredcites →https://doi.org/10.1023/a:1022652016863openalex-snapshot
A Study of Explanation-Based Methods for Inductive Learning
inferredcites →https://doi.org/10.1023/a:1022691120807openalex-snapshot
Explanation-Based Generalization: A Unifying View
inferredcites →https://doi.org/10.1111/j.1469-1809.1936.tb02137.xopenalex-snapshot
THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
inferredcites →https://doi.org/10.1145/1045343.1045371openalex-snapshot
Model-directed learning of production rules
inferredcites →https://doi.org/10.1145/130385.130398openalex-snapshot
Learnability of description logics
inferredcites →https://doi.org/10.1145/66926.66932openalex-snapshot
CLASSIC: a structural data model for objects
inferredcites →https://doi.org/10.1145/67544.66932openalex-snapshot
CLASSIC: a structural data model for objects
inferredcites →https://doi.org/10.13021/mars/3563openalex-snapshot
Selection of Most Representative Training Examples and Incremental Generation of VL1 Hypotheses: The Underlying Methodology and the Description of Programs ESEL and AQ11
inferredcites →https://doi.org/10.21236/ada042721openalex-snapshot
Model-Directed Learning of Production Rules
inferredcites →https://doi.org/10.4324/9781315799438openalex-snapshot
The Architecture of Cognition

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Machine Learning
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A Fuzzy Method for Learning Simple Boolean Formulas from Examples
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Galois Connections in Data Analysis: Contributions from the Soviet Era and Modern Russian Research
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Version Space Learning with DNA Molecules
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Demand-Driven Construction of Structural Features in ILP
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Construction of Efficient Rulesets from Fuzzy Data through Simulated Annealing
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Data Mining as Constraint Logic Programming
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Geography of Di.erences between Two Classes of Data
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Analytical learning guided by empirical technology: An approach to integration (Extended abstract)
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Data mining based on the generalization distribution table and rough sets
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A Theory of Inductive Query Answering
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Intelligent Computing Everywhere
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Setting Up Configuration Spaces and Experiments
inferred← citeshttps://doi.org/10.1007/978-3-540-24651-0_25openalex-snapshot
Machine Learning and Formal Concept Analysis
inferred← citeshttps://doi.org/10.1007/978-3-540-24775-3_74openalex-snapshot
Towards Optimizing Conjunctive Inductive Queries
inferred← citeshttps://doi.org/10.1007/978-3-540-37057-4_3openalex-snapshot
Identifying Flexible Structured Premises for Mining Concise Fuzzy Knowledge
inferred← citeshttps://doi.org/10.1007/978-3-540-39857-8_22openalex-snapshot
Robust k-DNF Learning via Inductive Belief Merging
inferred← citeshttps://doi.org/10.1007/978-3-540-44497-8_1openalex-snapshot
Inductive Databases and Multiple Uses of Frequent Itemsets: The cInQ Approach
inferred← citeshttps://doi.org/10.1007/978-3-540-44497-8_13openalex-snapshot
Condensed Representations for Sets of Mining Queries
inferred← citeshttps://doi.org/10.1007/978-3-540-44497-8_6openalex-snapshot
Towards Query Evaluation in Inductive Databases Using Version Spaces
inferred← citeshttps://doi.org/10.1007/978-3-540-45091-7_6openalex-snapshot
Hypotheses and Version Spaces
inferred← citeshttps://doi.org/10.1007/978-3-540-48061-7_58openalex-snapshot
The Iterated Version Space Learning
inferred← citeshttps://doi.org/10.1007/978-3-540-48247-5_76openalex-snapshot
Generating Linguistic Fuzzy Rules for Pattern Classification with Genetic Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-642-03070-3_35openalex-snapshot
Concept Learning from (Very) Ambiguous Examples
inferred← citeshttps://doi.org/10.1007/978-3-642-03573-9_57openalex-snapshot
Extracting Decision Correlation Rules
inferred← citeshttps://doi.org/10.1007/978-3-7908-1837-6_1openalex-snapshot
A Subsymbolic and Symbolic Model for Learning Sequential Decision Tasks
inferred← citeshttps://doi.org/10.1007/978-3-7908-1883-3_7openalex-snapshot
Data Mining: A Probabilistic Rough Set Approach
inferred← citeshttps://doi.org/10.1007/bfb0057461openalex-snapshot
Version space retraction with instance-based boundary sets
inferred← citeshttps://doi.org/10.1007/s10115-002-8195-4openalex-snapshot
Learning Premises of Fuzzy Rules for Knowledge Acquisition in Classification Problems
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Knowledge Discovery with Second-Order Relations
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SPHINX: Schema integration by example
inferred← citeshttps://doi.org/10.1016/j.artint.2003.04.003openalex-snapshot
Version spaces and the consistency problem
inferred← citeshttps://doi.org/10.1016/j.ijar.2003.10.007openalex-snapshot
Hyperrelations in version space
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A hybrid approach to rule discovery in databases
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Some experiments with a hybrid model for learning sequential decision making
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A fuzzy inductive learning strategy for modular rules
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Introducing IVSA: A new concept learning algorithm
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A Hybrid Architecture for Situated Learning of Reactive Sequential Decision Making
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Machine Learning on the Basis of Formal Concept Analysis
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Learning Concepts by Arranging Appropriate Training Order
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Fuzzy Inductive Learning Strategies
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Performance analysis of machine learning algorithms: Single Model VS Ensemble Model
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A generalized version space learning algorithm for noisy and uncertain data
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Hybrid learning incorporating neural and symbolic processes
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Classification of enjoy sport problem using version spaces and the Candidate Elimination algorithm
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A theory of inductive query answering
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