case-based-reasoning algorithm
Advanced Insulin Bolus Calculator Using Run To Run Control and Case Based Reasoning Algorithm
... any case, its appropriateness is restricted by the supposition of strict dreariness in the every day routine of individuals with ...and case-based thinking ...
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A Soft Computing Modeling to Case based Reasoning Implementation
... generated based on the partial-match relevant cases and the weights of these cases which are found during the retrieve ...training algorithm selection depends on the ANN type ...
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Case Representation Issues for Case Based Reasoning from Ensemble Research
... In the next evaluation two data-sets are chosen with few enough features to perform an exhaustive search of the space of feature masks. These are the Pima and Abalone data-sets from the UCI repository and each has 8 ...
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A flexible explanation system for case based reasoning
... retrieval algorithm. In the k-NN algorithm a case representing the present problem is compared with each case in the case- base and a similarity score is ...is based on the am ...
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Case Based Reasoning in Scheduling: Reusing Solution Components
... This T-CBR solution is 365 units in length. The SA algorithm produced a solution of 338 units. This T-CBR solution is 8% longer than the SA solution. This adaptation mechanism is inspired by the geometric ...
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Case Based Reasoning: A Comparative Analysis of CBR Tools
... the case can be graphically accessible. There are a lot of case retrieval algorithms applicable in case based ...are based on the similarity metric that allows likeness between cases ...
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Fuzzy case-based reasoning for weather prediction
... using case- based reasoning adopted algorithm, found that the failure of doing predicting is due to the fact that the algorithms cannot distinguish clearly low-level cases from the medium and ...
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Diabetes Diagnosis by Case-Based Reasoning and Fuzzy Logic
... work, case-based reasoning is used to support the diagnosis and treatment of chronic ...retrieval based on ...Genetic Algorithm reduces the time for ...tree) algorithm ...
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Case-based reasoning for context-aware solutions supporting personalised asthma management
... this case study is based on indicator pm10, whose values are transformed to a scale that goes from 1 to ...KNN algorithm was chosen to assess the similarity in the retrieval pro- cess as it is used ...
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Smart Radio: Building Community Based Internet Music Radio
... principles reasoning, which CBR systems are supposed to ...the reasoning system engages the user in a dialogue in order to guide him/her towards a ...revisit Case Retrieval Nets later in this thesis ...
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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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Multiple Classifiers System for Medical Diagnosis
... from Case based Reasoning and modified towing splitting rule in Classification Tree ) in the market, but the main problem is not a single machine learning algorithm has all the expected ...
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KNOWLEDGE MANAGEMENT SYSTEM FOR BROILER AND LAYING CULTIVATION
... Neighbor Algorithm The application of the nearest neighbour algorithm in the case based reasoning method is to classify objects based on the data closest to the ...a case ...
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Online Full Text
... and Case-Based Reasoning system which incorporates a vector model to help transfer textual information to numerical vector in order to make the real world information more adapted to the data mining ...
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Case Based Reasoning for Reducing Software Development Effort
... Sadly, we often get estimates wrong. Consider the NASA’s Checkout Launch Control System, which was canceled when the initial estimate of $200 million was overrun by an additional $200 M [8]. This case is not ...
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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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Research Progress in Bayesian Program Learning
... 62.6% accuracy. For speech recognition, the GMTK toolkit is widely used. For example, Sun[31] builds the training and recognition model of continuous speech based on DBN using the GMTK toolkit. Similarly, Wang[32] ...
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A Case Based Reasoning View of Automated Collaborative Filtering
... a case-base and typically each case has a case specification part and a solution ...Principles reasoning that would infer the appropriate solution for the problem description ...Principles ...
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Design Synthesis: A Model of Hierarchical Case Based Reasoning
... Decompositional methods are also plagued by interaction problems in context sensitive domains where a high degree of dependencies exist between domain elements; problems cannot be decomposed, using generalised ...
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