Advances in Instance Selection for Instance-Based Learning Algorithms

No abstract is available for this paper.

• Publication year

  2002

• Venue

  Data mining and knowledge discovery

• Publication date

  2002-04-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1023/A:1014043630878
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• On the Consistency of Information Filters for Lazy Learning Algorithms

  1999influential reference
• Selection and Statistical Validation of Features and Prototypes

  1999cited by this paper
• Do Not Forget: Full Memory in Memory-Based Learning of Word Pronunciation

  1998cited by this paper
• UCI Repository of machine learning databases

  1998cited by this paper
• The Reduced Nearest Neighbor Rule

  1998cited by this paper
• Forgetting Exceptions is Harmful in Language Learning

  1998influential reference
• Instance Pruning Techniques

  1997cited by this paper
• A feature-relevance heuristic for indexing and compressing large case bases

  1997cited by this paper
• UCI Repository of Machine Learning Databases

  1996cited by this paper
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  1995cited by this paper
• Rule Induction and Instance-Based Learning: A Unified Approach

  1995cited by this paper
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  1995cited by this paper
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  1993cited by this paper
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  1993cited by this paper
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  1992influential reference
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  1991cited by this paper
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  1991influential reference
• Concept Learning and the Problem of Small Disjuncts

  1989cited by this paper
• Case-Based Reasoning

  1988cited by this paper
• The Role of Forgetting in Learning

  1988cited by this paper
• An Experiment with the Edited Nearest-Neighbor Rule

  1976cited by this paper
• An algorithm for a selective nearest neighbor decision rule (Corresp.)

  1975cited by this paper
• Finding Prototypes For Nearest Neighbor Classifiers

  1974cited by this paper
• Asymptotic Properties of Nearest Neighbor Rules Using Edited Data

  1972influential reference
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  1972cited by this paper
• The reduced nearest neighbor rule (Corresp.)

  1972cited by this paper
• The condensed nearest neighbor rule (Corresp.)

  1968cited by this paper
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  1967cited by this paper
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