Case-Based Reasoning Research and Development 23rd International Conference, ICCBR 2015, Frankfurt am Main, Germany, September 28-30, 2015. Proceedings
by
 
Hüllermeier, Eyke. editor.

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.

Added Author
Hüllermeier, Eyke.
 
Minor, Mirjam.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
https://doi.org/10.1007/978-3-319-24586-7


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book518774-1001XX(518774.1)Elektronik Kütüphane