Case-based reasoning research and development : Second International Conference on Case-Based Reasoning, ICCBR-97, Providence, RI, USA, July 25-27, 1997 : proceedings

This book constitutes the refereed proceedings of the Second International Conference on Case-Based Reasoning, ICCBR-97, held in Providence, RI, USA, in July 1997. The volume presents 39 revised full scientific papers selected from a total of 102 submissions; also included are 20 revised application...

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Bibliographische Detailangaben
1. Verfasser: Leake, David B, 1957-
Körperschaft: International conference on case-based reasoning (VerfasserIn)
Weitere Verfasser: Plaza, Enric, 1957- (Verlagsleitung)
Format: Livre numérique
Sprache:Anglais
Veröffentlicht: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Schriftenreihe:Lecture notes in computer science. Lecture notes in artificial intelligence 1266
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Edition sous un autre format:• Case-based reasoning, research and development, proceedings [of the] second International conference on case-based reasoning, ICCBR'97, Providence, R.I., USA, July 25-27, 1997, David B. Leake, Enrik Plaza eds., 1997, Berlin, Springer, 1 vol. (XIII-648 p.), Lecture notes in computer science, 3-540-63233-6
• Case-Based Reasoning Research and Development, Texte imprimé, 9783662182185
Inhaltsangabe:
  • Case-based reasoning in color matching
  • Estimating software development effort with case-based reasoning
  • Applying case-based reasoning to automated deduction
  • A Case-based approach for elaboration of design requirements
  • Case-Based reasoning in an ultrasonic rail-inspection system
  • CBR in a changing environment
  • Case-based reasoning for information system design
  • Applying memory-based learning to indexing of reference ships for case-based conceptual ship design
  • CBR for document retrieval: The FAllQ project
  • Combining medical records with case-based reasoning in a mixed paradigm design TROPIX architecture & implementation
  • Ocram-CBR: A Shell for Case-Based Educational Systems
  • From troubleshooting to process design: Closing the manufacturing loop
  • ForMAT and Parka: A technology integration experiment and beyond
  • Encouraging self-explanation through case-based tutoring: A case study
  • Lessons learned from deployed CBR systems and design decisions made in building a commercial CBR tool
  • Using case-based reasoning for reusing software knowledge
  • New technology bliss and pain in a large customer service center
  • An engineering approach for troubleshooting case bases
  • A large case-based reasoner for legal cases
  • A scalable approach for question based indexing of encyclopedic texts
  • An explicit representation of reasoning failures
  • On the admissibility of concrete domains for CBR based on description logics
  • Similarity metrics: A formal unification of cardinal and non-cardinal similarity measures
  • The case for graph-structured representations
  • The evaluation of a hierarchical case representation using context guided retrieval
  • Refining conversational case libraries
  • Perspectives: A declarative bias mechanism for case retrieval
  • Usingintrospective learning to improve retrieval in CBR: A case study in air traffic control
  • Using machine learning for assigning indices to textual cases
  • How case-based reasoning and cooperative query answering techniques support RICAD
  • What you saw is what you want: Using cases to seed information retrieval
  • On the relation between the context of a feature and the domain theory in case-based planning
  • Theoretical analysis of case retrieval method based on neighborhood of a new problem
  • The adaptation knowledge bottleneck: How to ease it by learning from cases
  • A case study of case-based CBR
  • Solution-relevant abstractions constrain retrieval and adaptation
  • Selecting most adaptable diagnostic solutions through Pivoting-Based Retrieval
  • Towards improving case adaptability with a genetic algorithm
  • Merge strategies for multiple case plan replay
  • Loose coupling of failure explanation and repair: Using learning goals to sequence learning methods
  • Using a case base of surfaces to speed-up reinforcement learning
  • PAC analyses of a similarity learning IBL algorithm
  • Examining locally varying weights for nearest neighbor algorithms
  • Case-based planning to learn
  • A utility-based approach to learning in a mixed case-based and model-based reasoning architecture
  • Qualitative knowledge to support reasoning about cases
  • Integrating rule induction and case-based reasoning to enhance problem solving
  • Using software process modeling for building a case-based reasoning methodology: Basic approach and case study
  • Stratified case-based reasoning in non-refinable abstraction hierarchies
  • Supporting combined human and machine planning: An interface for planning by analogical reasoning
  • Using case-based reasoning for argumentation with multiple viewpoints.-Maintaining unstructured case bases
  • An analogical theory of creativity in design
  • Experimental study of a similarity metric for retrieving pieces from structured plan cases: Its role in the originality of plan case solutions
  • Creative design: Reasoning and understanding
  • Fuzzy modelling of case-based reasoning and decision
  • Probabilistic indexing for case-based prediction
  • A probabilistic model for case-based reasoning
  • Case based reasoning, fuzzy systems modeling and solution composition.