Category:LNCS 1010

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Lecture Notes in Computer Science, Volume 1010

Articles in category "LNCS 1010"

There are 51 articles in this category.

' ''Fish and sink'': An anytime-algorithm to retrieve adequate cases A A case based method for solving relatively stable dynamic constraint satisfaction problems A case-based approach for developing writing tools aimed at non-native English users A case-based reasoner adaptive to different cognitive tasks A connectionist indexing approach for CBR systems A memory-based hierarchical planner ADAPtER: An integrated diagnostic system combining case-based and abductive reasoning Adaptation using constraint satisfaction techniques An average-case analysis of k-nearest neighbor classifier An investigation of marker-passing algorithms for analogue retrieval C CBR and machine learning for combustion system design Case adaptation using an incomplete causal model Case memory and retrieval based on the immune system Case-based diagnosis of multiple faults Case-based reasoning for cash flow forecasting using fuzzy retrieval Case-based reasoning for expertise relocation in support of rural health workers in developing countries Cases as terms: A feature term approach to the structured representation of cases

C cont. Cost estimation of software projects through case base reasoning D DOM-ArC: An active decision support system for quality assessment of cases E Evaluating the application of CBR in mesh design for simulation problems Experiments on adaptation-guided retrieval in case-based design I INRECA: A seamlessly integrated system based on inductive inference and case-based reasoning Integrating case-based reasoning and tabu search for solving optimisation problems Integrating rules and cases for the classification task Integration of case based retrieval with a relational database system in aircraft technical support K KBS maintenance as learning two-tiered domain representation Knowledge engineering for CBR systems from a cognitive science perspective L Large-scale fault diagnosis for on-board train systems Learning a local similarity metric for case-based reasoning Learning strategies for explanation patterns: Basic game patterns with applications to chess Learning to improve case adaptation by introspective reasoning and CBR Learning to refine indexing by introspective reasoning M MacRad: Radiology image resource with a case-based retrieval system O On the automatic generation of case libraries by chunking chess games On the use of CBR in optimisation problems such as the TSP

O cont. Operator decision aiding by adaptation of supervision strategies P PROFIL: A decision support tool for metallic sections design using a CBR approach Problem solving with ''The incredible machine'': An experiment in case-based reasoning R Reasoning with reasons in case-based comparisons Representing and indexing building refurbishment cases for multiple retrieval of adaptable pieces of cases Retrieving cases in structured domains by using goal dependencies Reuse of knowledge: Empirical studies Route planning by analogy S Separating the cases from the data: Towards more flexible case-based reasoning Some limitations of feature-based recognition in case-based design Systems, tasks and adaptation knowledge: Revealing some revealing dependencies T Towards the integration of case-based, schema-based and model-based reasoning for supporting complex design tasks Towards using a single uniform metric in instance-based learning U Using a neural network to learn general knowledge in a case-based system Using case data to improve on rule-based function approximation W Weighting features