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 5 of 5 for “"Balanced Sampling"”.
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Sequential Sampling Designs for Estimating Software Reliability
… during testing is a shortcoming of a fixed sampling scheme. We applied sequential sampling schemes to make allocation decisions dynamically throughout the testing process. Under these sampling schemes, we can refine the allocation of test cases sequentially based on the information gained as …
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The Influence of Placement in a Co-Taught Inclusive Classroom on the Academic Achievement of General Education Students on the 2014 New York State ELA and Mathematics Assessments in Grades 6-8 in a Suburban New York School District
… was utilized to select the sample to provide a balanced sampling technique. The final sample was comprised of 746 students in Grades 6-8 in a suburban New York upper middle class district during the 2013-14 school year. The variables that were included in this study were gender, socioeconomic …
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New methods to improve detection and classification on waterfowl and tree in aerial images
… by reducing false positives. SRN employs a novel sampling mechanism that ensures a balanced ratio of positive and negative proposals in each training batch and prioritizes challenging cases, achieving a 10.1 percent improvement on hard-to-detect images. Second, a Size-Related Non-Maximum …
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Surrogate Model Assisted Nested Simulation with Applications to Variable Annuity Portfolio Valuation and Hedging
… a model-assisted estimation framework with balanced sampling to reduce the number of policies, and a spline regression framework with scenario clustering to reduce the number of outer-/inner-loops. The proposed algorithm is applied to perform various valuations for large synthetic VA …
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Deephtlv: A Deep Learning Framework For Detecting Human T-Lymphotrophic Virus 1 Integration Sites
… accuracy, we trained the model using a bootstrap balanced sampling method with 10-fold CV. Furthermore, we demonstrated that this model has higher accuracy than several traditional machine learning models, with a modest improvement in area under the curve (AUC) values by 3-10%. To study the …