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Learning two-tiered descriptions of flexible concepts: The POSEIDON system
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Concept recognition: An approximate reasoning framework
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Explanation-Based Learning: An Alternative View
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Experiments with Incremental Concept Formation: UNIMEM
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Knowledge Acquisition Via Incremental Conceptual Clustering
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Machine learning: An artificial intelligence approach
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Family resemblances: Studies in the internal structure of categories
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The psychology of computer vision
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LEARNING FLEXIBLE CONCEPTS
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Case-based Planning
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variable-valued logic and its applications to pattern recognition and machine learning
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Learning Representative Exemplars of Concepts: An Initial Case Study
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How to Learn Imprecise Concepts: A Method for Employing a Two-Tiered Knowledge Representation in Learning
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Explanation-Based Generalization as Resolution Theorem Proving
inferredcites →https://doi.org/10.1016/b978-0-934613-64-4.50007-4openalex-snapshot
Concept Simplification and Prediction Accuracy
inferredcites →https://doi.org/10.1016/b978-0-934613-64-4.50011-6openalex-snapshot
AutoClass: A Bayesian Classification System
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/b978-1-4832-1446-7.50034-0openalex-snapshot
Explanation-Based Generalization: A Unifying View
inferredcites →https://doi.org/10.1016/b978-1-55860-036-2.50005-9openalex-snapshot
INDUCTION OVER THE UNEXPLAINED: Integrated Learning of Concepts with Both Explainable and Conventional Aspects
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Simplifying decision trees
inferredcites →https://doi.org/10.1016/s0165-0114(83)80073-6openalex-snapshot
A general concept of fuzzy connectives, negations and implications based on t-norms and t-conorms
inferredcites →https://doi.org/10.1017/cbo9780511529863.007openalex-snapshot
Two-tiered concept meaning, inferential matching, and conceptual cohesiveness
inferredcites →https://doi.org/10.13021/mars/3439openalex-snapshot
On the Nature of Explanation or Why Did the Wine Bottle Shatter
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Computerized Construction in Fortran of a Discriminant Function for Categorical Data
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Categories and Concepts
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Women, Fire, and Dangerous Things
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Distance-Based Classification Methods
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Omnivariate Rule Induction Using a Novel Pairwise Statistical Test
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Artificial Intelligence Methods for Evaluating Global Trade Flows
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The Validity of Machine Learning Procedures in Orthodontics: What Is Still Missing?
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Evaluation of Decision Rules by Qualities for Decision-Making Systems
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