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  1. No Access

    Book and Conference Proceedings

    Modeling and Retrieval of Context

    Second International Workshop, MRC 2005, Edinburgh, UK, July 31–August 1, 2005, Revised Selected Papers

    Thomas R. Roth-Berghofer, Stefan Schulz… in Lecture Notes in Computer Science (2006)

  2. 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)

  3. 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)

  4. No Access

    Chapter and Conference Paper

    Word Sieve: A Method for Real-Time Context Extraction

    In order to be useful, intelligent information retrieval agents must provide their users with context-relevant information. This paper presents WordSieve, an algorithm for automatically extracting information ...

    Travis Bauer, David B. Leake in Modeling and Using Context (2001)

  5. No Access

    Chapter and Conference Paper

    When Two Case Bases Are Better than One: Exploiting Multiple Case Bases

    Much current CBR research focuses on how to compact, refine, and augment the contents of individual case bases, in order to distill needed information into a single concise and authoritative source. However, a...

    David B. Leake, Raja Sooriamurthi in Case-Based Reasoning Research and Development (2001)

  6. No Access

    Chapter and Conference Paper

    Integrating Information Resources: A Case Study of Engineering Design Support⋆

    The development of successful case-based design aids depends both on the CBR processes themselves and on crucial questions of integrating the CBR system into the larger task context: how to make the CBR compon...

    David B. Leake, Larry Birnbaum… in Case-Based Reasoning Research and Developm… (1999)

  7. No Access

    Chapter and Conference Paper

    When Experience is Wrong: Examining CBR for Changing Tasks and Environments⋆

    Case-based problem-solving systems reason and learn from experiences, building up case libraries of problems and solutions to guide future reasoning. The expected benefits of this learning process depend on tw...

    David B. Leake, David C. Wilson in Case-Based Reasoning Research and Development (1999)

  8. No Access

    Chapter and Conference Paper

    Combining CBR with Interactive Knowledge Acquisition, Manipulation and Reuse⋆

    Because of the complexity of aerospace design, intelligent systems to support and amplify the abilities of aerospace designers have the potential for profound impact on the speed and reliability of design gene...

    David B. Leake, David C. Wilson in Case-Based Reasoning Research and Development (1999)

  9. No Access

    Chapter and Conference Paper

    Categorizing case-base maintenance: Dimensions and directions

    Experience with the growing number of large-scale CBR systems has led to increasing recognition of the importance of case-base maintenance. Multiple researchers have addressed pieces of the case-base maintenan...

    David B. Leake, David C. Wilson in Advances in Case-Based Reasoning (1998)