Case-based reasoning research and development : First International Conference, ICCBR-95, Sesimbra, Portugal, October 23-26, 1995 : proceedings
This book constitutes the refereed proceedings of the First International Conference on Case-Based Reasoning, ICCBR-95, held in Sesimbra, Portugal, in October 1995. The 52 revised papers included are classified as scientific papers , application papers , and posters . All current aspects of research...
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| Sprog: | Anglais |
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| Serier: | Lecture notes in computer science. Lecture notes in artificial intelligence
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
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| Edition sous un autre format: | • Case-based reasoning research and development, First International Conference, ICCBR-95, Sesimbra, Portugal, October 23-26, 1995, proceedings, Berlin, Springer, 1995, 1 vol. (X - 576 p.), Lecture notes in computer science, 3-540-60598-3 • Case-Based Reasoning Research and Development, Texte imprimé, 9783662171936 |
Indholdsfortegnelse:
- Integration of case based retrieval with a relational database system in Aircraft Technical Support
- Cost estimation of software projects through case base reasoning
- Operator decision aiding by adaptation of supervision strategies
- PROFIL: A decision support tool for metallic sections design using a CBR approach
- MacRad: Radiology image resource with a case-based retrieval system
- Representing and indexing building refurbishment cases for multiple retrieval of adaptable pieces of cases
- Large-scale fault diagnosis for on-board train systems
- Case-based reasoning for expertise relocation in support of rural health workers in developing countries
- Spatial composition using cases: IDIOM
- CBR and Machine Learning for combustion system design
- KBS maintenance as learning two-tiered domain representation
- A case-based approach for developing writing tools aimed at non-native English users
- Reasoning with reasons in case-based comparisons
- Towards the integration of case-based, schema-based and model-based reasoning for supporting complex design tasks
- Separating the cases from the data: Towards more flexible case-based reasoning
- Route planning by analogy
- Case adaptation using an incomplete causal model
- Evaluating the application of CBR in mesh design for simulation problems
- Case memory and retrieval based on the immune system
- Using case data to improve on rule-based function approximation
- Learning to improve case adaptation by introspective reasoning and CBR
- Retrieving cases in structured domains by using goal dependencies
- An average-case analysis of k-nearest neighbor classifier
- Cases as terms: A feature term approach to the structured representation of cases
- ADAPtER: An integrated diagnostic system combining case-based and abductive reasoning
- Adaptation using constraint satisfaction techniques
- Learning a local similarity metric for case-based reasoning
- Experiments on adaptation-guided retrieval in case-based design
- Integrating rules and cases for the classification task
- Reuse of knowledge: Empirical studies
- Weighting features
- An investigation of marker-passing algorithms for analogue retrieval
- INRECA: A seamlessly integrated system based on inductive inference and case-based reasoning
- DOM-ArC: An active decision support system for quality assessment of cases
- A case-based reasoner adaptive to different cognitive tasks
- On the use of CBR in optimisation problems such as the TSP
- Case-based diagnosis of multiple faults
- On the automatic generation of case libraries by chunking chess games
- Learning to refine indexing by introspective reasoning
- Problem solving with the incredible machine an experiment in case-based reasoning
- Integrating case based reasoning and tabu search for solving optimisation problems
- Systems, tasks and adaptation knowledge: Revealing some revealing dependencies
- Some limitations of feature-based recognition in case-based design
- A case based method for solving relatively stable dynamic constraint satisfaction problems
- Learning strategies for explanation patterns: Basic game patterns with application to chess
- A memory-based hierarchical planner
- Case-Based Reasoning for cash flow forecasting using fuzzy retrieval
- A connectionist indexing approach for CBR systems
- Using a neural network to learn general knowledge in a case-based system
- Fish and Sink an anytime-algorithm to retrieve adequate cases
- Knowledge engineering for CBR systems from a cognitive science perspective
- Towards using a single uniform metric in instance-basedlearning.