Case-Based Reasoning Research and Development

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-based learning.