Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 8 of 8 for “"attribute selection"”.
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Analogy-based software project effort estimation. Contributions to projects similarity measurement, attribute selection and attribute weighting algorithms for analogy-based effort estimation.
… on two major factors: similarity measure and attribute selection & weighting. Current similarity measures such as nearest neighborhood techniques have been criticized that have some inadequacies related to attributes relevancy, noise and uncertainty in addition to the problem of using …
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Analogy-based software project effort estimation. Contributions to projects similarity measurement, attribute selection and attribute weighting algorithms for analogy-based effort estimation.
… on two major factors: similarity measure and attribute selection & weighting. Current similarity measures such as nearest neighborhood techniques have been criticized that have some inadequacies related to attributes relevancy, noise and uncertainty in addition to the problem of using …
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An Integrated Machine Learning Approach to Optimize the Estimation of Preterm Birth
… cross validation method, assesses two methods of attribute selection, and considers data prevalence (15% and 8.1%) in training and testing networks. Two databases were assessed from two countries: BORN (Canada) and PRAMS (USA).Best BORN results used selection method 2, had sensitivities of 50.53%, …
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Machine learning for automatic classification of remotely sensed data
… be reduced. Specifically, a new technique for attribute selection in neural networks is demonstrated. Machine learning techniques, in particular, provide us with a means of automating classification using training data from a variety of data sources, including remotely sensed data and expert …
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When my patient is not my patient : inferring primary-care relationships using machine learning
… Estimator (AODE) classifier and learned with six attributes taken from patient visit history and physician practice characteristics can, for most of the 18 physicians tested, differentiate patients with a coverage relationship to a given physician from those with a primary relationship, achieving …
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Disaster recovery planning of transportation networks
… modeled problem with equitable decision attributes is essential. This dissertation aims to address problem structuring and methodological identification of DRPTN decision attributes. To do so, the research begins with a systematic analysis of the DRPTN optimization models, divided into …
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A CONCURRENT ENGINEERING DESIGN SYSTEM FOR POLYMERIC-BASED COMPOSITE AUTOMOTIVE COMPONENTS
… reasoning was used to accomplish this task. The selection process was carried out in two stages because after the first stage of selection, a number of material candidates were found to be suitable. Arrow’s impossibility theorem, one of the theory of multi-attribute selection problems was used to …