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Cover image for Case-Based Reasoning Research and Development 23rd International Conference, ICCBR 2015, Frankfurt am Main, Germany, September 28-30, 2015. Proceedings
Title:
Case-Based Reasoning Research and Development 23rd International Conference, ICCBR 2015, Frankfurt am Main, Germany, September 28-30, 2015. Proceedings
Author:
Hüllermeier, Eyke. editor.
ISBN:
9783319245867
Edition:
1st ed. 2015.
Physical Description:
XI, 398 p. 128 illus. in color. online resource.
Series:
Lecture Notes in Artificial Intelligence, 9343
Contents:
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 andUnstructured 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.
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