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4 Result(s)

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  1. No Access

    Chapter and Conference Paper

    Human-Centered CBR: Integrating Case-Based Reasoning with Knowledge Construction and Extension

    Human-centered computing studies methods to improve the interactions and performance of combined human/machine systems. Case-based reasoning provides a natural method for supporting knowledge capture and acces...

    David B. Leake in Case-Based Reasoning Research and Development (2003)

  2. No Access

    Chapter and Conference Paper

    Automatically Selecting Strategies for Multi-Case-Base Reasoning

    Case-based reasoning (CBR) systems solve new problems by retrieving stored prior cases, and adapting their solutions to fit new circumstances. Traditionally, CBR systems draw their cases from a single local ca...

    David B. Leake, Raja Sooriamurthi in Advances in Case-Based Reasoning (2002)

  3. No Access

    Chapter and Conference Paper

    Learning to refine indexing by introspective reasoning

    A significant problem for case-based reasoning (CBR) systems is determining the features to use in judging case similarity for retrieval. We describe research that addresses the feature selection problem by us...

    Susan Fox, David B. Leake in Case-Based Reasoning Research and Development (1995)

  4. No Access

    Chapter and Conference Paper

    Learning to improve case adaptation by introspective reasoning and CBR

    In current CBR systems, case adaptation is usually performed by rule-based methods that use task-specific rules hand-coded by the system developer. The ability to define those rules depends on knowledge of the...

    David B. Leake, Andrew Kinley… in Case-Based Reasoning Research and Development (1995)