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Showing 1 to 3 of 3 for “"Bipartite ranking"”.
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A Study of the Bipartite Ranking Problem in Machine Learning
… we demonstrate a practical application of bipartite ranking to a problem in bioinformatics, namely the problem of identifying genes related to a given disease based on microarray data. Our studies on leukemia and colon cancer data sets show very promising results, including the …
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Integer optimization methods for machine learning
… The first part develops methods for supervised bipartite ranking, which arises in prioritization tasks in diverse domains such as information retrieval, recommender systems, natural language processing, bioinformatics, and preventative maintenance. The primary advantage of using MIO for ranking …
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An Efficient Ranking and Classification Method for Linear Functions, Kernel Functions, Decision Trees, and Ensemble Methods
… of features and outputs, resulting in improved ranking performance (area under the ROC curve, average precision, and F-1 score) at the cost of increased learning complexity. In this dissertation, it is proven that the balanced loss 0-1 SVM and the pairwise SVM have the same dual loss and the …