Case-based reasoning research and de...
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  • Case-based reasoning research and development[electronic resource] :23rd International Conference, ICCBR 2015, Frankfurt am Main, Germany, September 28-30, 2015 : proceedings /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 006.3
    書名/作者: Case-based reasoning research and development : 23rd International Conference, ICCBR 2015, Frankfurt am Main, Germany, September 28-30, 2015 : proceedings // edited by Eyke Hullermeier, Mirjam Minor.
    其他題名: ICCBR 2015
    其他作者: Hullermeier, Eyke.
    團體作者: Clark Conference
    出版者: Cham : : Springer International Publishing :, 2015.
    面頁冊數: xi, 398 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Case-based reasoning
    標題: Computer science.
    標題: Data mining.
    標題: User interfaces (Computer systems)
    標題: Artificial intelligence.
    標題: Application software.
    標題: Computer Science.
    標題: Artificial Intelligence (incl. Robotics)
    標題: Information Storage and Retrieval.
    標題: Data Mining and Knowledge Discovery.
    標題: Information Systems Applications (incl. Internet)
    標題: User Interfaces and Human Computer Interaction.
    標題: Computer Appl. in Administrative Data Processing.
    ISBN: 9783319245867
    ISBN: 9783319245850
    內容註: Case Base Maintenance in Preference-based CBR -- Learning to Estimate: A Case-Based Approach to Task Execution Prediction -- Case-based Policy and Goal Recognition -- Adapting Sentiments with Context -- Aspect Selection for Social Recommender Systems -- Music Recommendation: Audio Neighbourhoods to Discover Music in the Long Tail -- Goal-Driven Autonomy with Semantically-annotated Hierarchical Cases -- Evaluating a Textual Adaptation System -- Visual Case Retrieval for Interpreting Skill Demonstrations -- Improving Trust-Guided Behavior Adaptation Using Operator Feedback -- Top-Down Induction of Similarity Measures Using Similarity Clouds -- Improving Case Retrieval Using Typicality -- CBR Meets Big Data: A Case Study of Large-Scale Adaptation Rule Generation -- Addressing the Cold-Start Problem in Facial Expression Recognition -- Flexible Feature Deletion: Compacting Case Bases by Selectively Compressing Case Contents -- A Case-Based Approach For Easing Schema Semantic Mapping -- Great Explanations: Opinionated Explanations for Recommendation -- Learning and Applying Adaptation Operators in Process-Oriented Case-Based Reasoning -- Fault Diagnosis via Fusion of Information from a Case Stream -- Argument-based Case Revision in CBR for Story Generation -- CBR Model for Predicting a Building's Electricity Use: On-Line Implementation in the Absence of Historical Data -- Modelling Hierarchical Relationships in Group Recommender Systems -- Semi-automatic Knowledge Extraction from Semi-structured and Unstructured Data within the OMAHA Project -- Evidence-Driven Retrieval in Textual CBR: Bridging the Gap Between Retrieval and Reuse -- Maintaining and Analyzing Production Process Definitions Using a Tree-Based Similarity Measure -- Case-Based Plan Recognition Under Imperfect Observability.
    摘要、提要註: This book constitutes the refereed proceedings of the 23rd International Conference on Case-Based Reasoning Research and Development, ICCBR 2015, held in Frankfurt am Main, Germany, in September 2015. The 26 revised full papers presented were carefully reviewed and selected from 37 submissions. The papers cover a wide range of CBR topics that are of interest both to researchers and practitioners from foundations of Case-Based Reasoning; over CBR systems for specific tasks and related fields; up to CBR systems, applications and lessons learned in specific areas of expertise such as health; e-science; finance; energy, logistics, traffic; game/AI; cooking; diagnosis, technical support; as well as knowledge and experience management.
    電子資源: http://dx.doi.org/10.1007/978-3-319-24586-7
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