| 000 | 05365nam a22005535i 4500 | ||
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| 001 | 978-3-540-31855-2 | ||
| 003 | DE-He213 | ||
| 005 | 20240730183740.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100721s2005 gw | s |||| 0|eng d | ||
| 020 |
_a9783540318552 _9978-3-540-31855-2 |
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| 024 | 7 |
_a10.1007/11536406 _2doi |
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| 050 | 4 | _aQ334-342 | |
| 050 | 4 | _aTA347.A78 | |
| 072 | 7 |
_aUYQ _2bicssc |
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| 072 | 7 |
_aCOM004000 _2bisacsh |
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_aUYQ _2thema |
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_a006.3 _223 |
| 245 | 1 | 0 |
_aCase-Based Reasoning Research and Development _h[electronic resource] : _b6th International Conference on Case-Based Reasoning, ICCBR 2005, Chicago, IL, USA, August 23-26, 2005, Proceedings / _cedited by Hector Munoz-Avila, Francesco Ricci. |
| 250 | _a1st ed. 2005. | ||
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2005. |
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| 300 |
_aXVI, 656 p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v3620 |
|
| 505 | 0 | _aInvited Talks -- The Virtue of Reward: Performance, Reinforcement and Discovery in Case-Based Reasoning -- Learning to Optimize Plan Execution in Information Agents -- Cased-Based Reasoning by Human Experts -- Scientific Papers -- Learning to Win: Case-Based Plan Selection in a Real-Time Strategy Game -- An Ensemble of Case-Based Classifiers for High-Dimensional Biological Domains -- Language Games: Solving the Vocabulary Problem in Multi-Case-Base Reasoning -- Evaluation and Monitoring of the Air-Sea Interaction Using a CBR-Agents Approach -- A Comparative Analysis of Query Similarity Metrics for Community-Based Web Search -- A Case-Based Approach for Indoor Location -- P2P Case Retrieval with an Unspecified Ontology -- Autonomous Internal Control System for Small to Medium Firms -- The Application of a Case-Based Reasoning System to Attention-Deficit Hyperactivity Disorder -- Reasoning with Textual Cases -- Using Ensembles of Binary Case-Based Reasoners -- Transfer in Visual Case-Based Problem Solving -- Generating Estimates of Classification Confidence for a Case-Based Spam Filter -- Improving Gene Selection in Microarray Data Analysis Using Fuzzy Patterns Inside a CBR System -- CBR for State Value Function Approximation in Reinforcement Learning -- Using CBR to Select Solution Strategies in Constraint Programming -- Case-Based Art -- Supporting Conversation Variability in COBBER Using Causal Loops -- Opportunities for CBR in Learning by Doing -- Navigating Through Case Base Competence -- A Knowledge-Intensive Method for Conversational CBR -- Re-using Implicit Knowledge in Short-Term Information Profiles for Context-Sensitive Tasks -- Acquiring Similarity Cases for Classification Problems -- A Live-User Evaluation of Incremental Dynamic Critiquing -- Case Based Representation and Retrieval withTime Dependent Features -- The Best Way to Instil Confidence Is by Being Right -- Cooperative Reuse for Compositional Cases in Multi-agent Systems -- Evaluating the Effectiveness of Exploration and Accumulated Experience in Automatic Case Elicitation -- HYREC: A Hybrid Recommendation System for E-Commerce -- Extending jCOLIBRI for Textual CBR -- Critiquing with Confidence -- Mapping Goals and Kinds of Explanations to the Knowledge Containers of Case-Based Reasoning Systems -- An Approach for Temporal Case-Based Reasoning: Episode-Based Reasoning -- How to Combine CBR and RBR for Diagnosing Multiple Medical Disorder Cases -- Case-Based Student Modeling Using Concept Maps -- Learning Similarity Measures: A Formal View Based on a Generalized CBR Model -- Knowledge-Rich Similarity-Based Classification -- Autonomous Creation of New Situation Cases in Structured Continuous Domains -- Retrieval and Configuration of Life Insurance Policies -- Analogical and Case-Based Reasoning for Predicting Satellite Task Schedulability -- Case Adaptation by Segment Replanning for Case-Based Planning Systems -- Selecting the Best Units in a Fleet: Performance Prediction from Equipment Peers -- CCBR-Driven Business Process Evolution -- CBR for Modeling Complex Systems -- CBE-Conveyor: A Case-Based Reasoning System to Assist Engineers in Designing Conveyor Systems. | |
| 650 | 0 |
_aArtificial intelligence. _93407 |
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| 650 | 0 |
_aMachine theory. _9133247 |
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| 650 | 0 |
_aBusiness information services. _928705 |
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| 650 | 1 | 4 |
_aArtificial Intelligence. _93407 |
| 650 | 2 | 4 |
_aFormal Languages and Automata Theory. _9133248 |
| 650 | 2 | 4 |
_aIT in Business. _933373 |
| 700 | 1 |
_aMunoz-Avila, Hector. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9133249 |
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| 700 | 1 |
_aRicci, Francesco. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9133250 |
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| 710 | 2 |
_aSpringerLink (Online service) _9133251 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783540281740 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783540813910 |
| 830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v3620 _9133252 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/11536406 |
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| 912 | _aZDB-2-SXCS | ||
| 912 | _aZDB-2-LNC | ||
| 942 | _cELN | ||
| 999 |
_c92021 _d92021 |
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