case based reasoning (CBR)
Case Representation Issues for Case Based Reasoning from Ensemble Research
... of Case-Based Reasoning (CBR) has strong appeal because it is recognised that much of human expertise is experienced based and CBR is considered to capture this ...firmly based in the ...
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Case Based Reasoning in Scheduling: Reusing Solution Components
... There is a lot of optimism at the moment about the usefulness of case-based reasoning (CBR) in the development of knowledge based systems. The view is that cases can represent good quality ...
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Case Based Reasoning for Reducing Software Development Effort
... Case based reasoning is a method of machine learning that seeks to emulate human recollection and adaptation of past experiences in order to find solutions to current ...purely based on this ...
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A Comparison of Incremental Case Based Reasoning and Inductive Learning
... of case-based reasoning which is particularily useful for tasks which involve sparse target problem descriptions and where the accumulation of additional features is ...
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Case Based Reasoning: A Comparative Analysis of CBR Tools
... (cases). Case-based reasoning (CBR) are used in many different fields to create plentiful applications in a wide range of areas comprising financial investigation, medical diagnosis, cataloguing of ...
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Extraction of biomedical events using case based reasoning
... Case-based reasoning (CBR) (Aamodt & Plaza, 1994) is the machine learning method that was used for extracting the terms and events here proposed and consists of first learning cases from the ...
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An Assessment of Case Based Reasoning for Spam Filtering
... a case-based (memory-based) approach may work well. Case-Based Reasoning (CBR) is a lazy approach to machine learning where induction is delayed to run ...the case base ...
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A Knowledge Light Mechanism for Explanation in Case Based Reasoning
... From the start, AI research (Turing 1950, Minsky 1961) has often attempted to replicate problem- solving techniques in computers in a similar manner to how humans perform problem-solving. Neural Networks are mathematical ...
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Index Terms case based reasoning, face recognition,
... of Case- based reasoning ...face case. The CBR module compares the similarity of the new face case and previously stored face cases in the face casebase and retrieves the most similar ...
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A Case Based Reasoning View of Automated Collaborative Filtering
... to Case-Based Reasoning ...of case-based reasoning – a learning approach based on case ...a case retrieval net model of ACF and show how it allows for ...
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Design Synthesis: A Model of Hierarchical Case Based Reasoning
... CADSYN, case knowledge and decomposition knowledge are represented ...whether case-based reasoning can be applied directly or whether decompositional techniques should be employed ...
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PROFESSIONALIZING TEACHER EDUCATION WITH CASE BASED REASONING
... Case Based Reasoning (CBR) addresses issues in memory, learning, planning and problem solving (Slade, ...through Case Based Reasoning. “Case-based reasoning ...
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A flexible explanation system for case based reasoning
... Case-Based reasoning (CBR) is a machine learning technique th a t differs fundamentally in its approach to problem solving in comparison w ith other ...the case of Neural Networks the model is ...
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A Soft Computing Modeling to Case based Reasoning Implementation
... thinking, reasoning, object recognition, data mining, episodic memory, control, and knowledge ...techniques, Case- Based Reasoning (CBR) has the potential to host diverse combination of ...
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An Ontology-Based Itinerary Planning Model Using Case-Based Reasoning
... is Case- based Reasoning (CBR) in the modules constructions and also provides advice to users about products they might be interested in such as points of ...interests. Case-based ...
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Analogical Asides on Case Based Reasoning
... The re-use of past experience is trivial if it is just the direct application of concrete knowledge or the instantiation of established, abstract knowledge (e.g., schemas). One of the key insights in CBR, and analogy, is ...
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Diabetes Diagnosis by Case-Based Reasoning and Fuzzy Logic
... is based on experience, theoretical knowledge and rules. Case-based reasoning is a problem-solving paradigm which is based on past ...applications based on CBR have been ...of ...
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Mineral Prospectivity Mapping Method Integrating Multi Sources Geology Spatial Data Sets and Case Based Reasoning
... a case-based reasoning (CBR) method for mineral prospectivity mapping that takes spatial features of geology data into account and offers an intelligent ...metallogenic case representation ...
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Case based Reasoning for Design Patterns Searching System
... This paper proposes such a new model that applies both Case Based Reasoning (CBR) and Formal Concept Analysis (FCA). CBR is a smart knowledge learning model, which is a powerful tool used in ...
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Generating Weather Forecast Texts with Case based Reasoning
... paper, case based reasoning (CBR) is proposed for weather forecast text generation because similar weather conditions occur over time and should have similar forecast ...
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