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case-based reasoning methods

A Comparison of Incremental Case Based Reasoning and Inductive Learning

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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Hybrid Technique and Competence- Preserving Case Deletion Methods for Case Maintenance in Case-Based Reasoning

Hybrid Technique and Competence- Preserving Case Deletion Methods for Case Maintenance in Case-Based Reasoning

... A set of case solution is provided by using the k-nearest neighbor's algorithm (k-NN). It is a simple method for classifying objects based on closest training examples in the feature space. An object is ...

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A Case Based Reasoning Approach for Speech Corpus Generation

A Case Based Reasoning Approach for Speech Corpus Generation

... a Case-Based Reasoning system to generate natural language ...template-based methods while avoiding the linguistic sophistication of rule-based ...

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Design Synthesis: A Model of Hierarchical Case Based Reasoning

Design Synthesis: A Model of Hierarchical Case Based Reasoning

... text, the system might retrieve a design for displaying a list of text elements. During adaptation the list widget of the retrieved design must be changed to a text widget required in the target. Therefore one type of ...

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Case Based Reasoning in Scheduling: Reusing Solution Components

Case Based Reasoning in Scheduling: Reusing Solution Components

... Two distinct approaches to case-based scheduling can be identified from the literature. The first one is used in Koton's SMARTplan (1989). Cases are used to propose preliminary schedules which are then ...

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Case Based Reasoning: A Comparative Analysis of CBR Tools

Case Based Reasoning: A Comparative Analysis of CBR Tools

... a case in a very general ...of case and automatic generation of user ...problem-solving methods that are not available in the framework, then, we could program new ways (methods) and include ...

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Case based Reasoning for Design Patterns Searching System

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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A Soft Computing Modeling to Case based Reasoning Implementation

A Soft Computing Modeling to Case based Reasoning Implementation

... The soft computing objective is to develop models that can be utilized in solving problems in an intelligent way whenever there is no existing other ways to solve the problems or the existing ways are not good enough. ...

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A flexible explanation system for case based reasoning

A flexible explanation system for case based reasoning

... database methods but the method most commonly used in classification tasks is the k Nearest Neighbours (k-NN) retrieval ...a case representing the present problem is compared with each case in the ...

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The Impact of Online Video Cases on Clinical Reasoning in Occupational Therapy Education:  A Quantitative Analysis

The Impact of Online Video Cases on Clinical Reasoning in Occupational Therapy Education: A Quantitative Analysis

... of case-based reasoning in occupational therapy education and in related health fields has been limited to student satisfaction with case-based learning methods (Curran, Sharpe, ...

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Case Representation Issues for Case Based Reasoning from Ensemble Research

Case Representation Issues for Case Based Reasoning from Ensemble Research

... for Case-Based Reasoning (CBR) in ...single case or a small number of cases are retrieved during problem solving and these cases are reused to produce a solution for the new ...of ...

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Smart Radio: Building Community Based Internet Music Radio

Smart Radio: Building Community Based Internet Music Radio

... is based on choosing features according to the information gain measure described ...is based on earlier work in the domain of electronic fault diagnosis (Cunningham & Smyth 1994) where it is difficult ...

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Fuzzy case-based reasoning for weather prediction

Fuzzy case-based reasoning for weather prediction

... In doing weather prediction, the expert must deal with chaotic atmosphere and must have broad knowledge of weather. This field also needs the massive computational power in solving the equations that describe atmosphere. ...

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Online Full Text

Online Full Text

... We represent each column as a data point in a dimensional space, where Z is the total number of attributes (columns). The algorithm computes the vectorizing value (or representation value) between each feature which was ...

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Year: 2013 Volume: 1 Number: 1

Year: 2013 Volume: 1 Number: 1

... These methods, however, differ in some important ways. First, as research and literature show, CBR’s implications to designing instruction are similar to those entailed by constructivist approaches to teaching and ...

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Aviation Psychology: Optimizing Human Behaviors
For The Excellence In Aviation   Justin Joshua, Aarathy S Nair, Aiswarya A Satheesan, Aswathy A S Aeronautical  Abstract PDF  IJIRMET1604010012

Aviation Psychology: Optimizing Human Behaviors For The Excellence In Aviation Justin Joshua, Aarathy S Nair, Aiswarya A Satheesan, Aswathy A S Aeronautical Abstract PDF IJIRMET1604010012

... This paper surveys on various traditional recommendation techniques used in an e learning platform and also considered their advantages and limitations. A recommender system tries to intelligently recommend actions that ...

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Case Based Reasoning for Reducing Software Development Effort

Case Based Reasoning for Reducing Software Development Effort

... 3.53 * 2.38 * 1.62 * 1.54 ≈ 21 > 20 (5) By the same reasoning, making maximal changes to all factors could have a net effect of up to eleven thou- sand. Hence, an improvement of 95% (or even more) is ...

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Extraction of biomedical events using case based reasoning

Extraction of biomedical events using case based reasoning

... a case (hereafter called “case-problem”) based on the testing features and proceeds to search the base of cases for the case-solution the most similar to this case-problem (Figure ...

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A Case Based Reasoning View of Automated Collaborative Filtering

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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A Review of Explanation and Explanation in Case Based Reasoning

A Review of Explanation and Explanation in Case Based Reasoning

... 2. Knowledge Maintenance. In most KBSs the domain is not fully understood when the initial knowledge base is set up. Very often in KBSs when new knowledge is discovered the system needs to be retrained on this new data. ...

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