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Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications
In recent years, significant progress has been made in developing more a...
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On Sample Complexity of Projection-Free Primal-Dual Methods for Learning Mixture Policies in Markov Decision Processes
We study the problem of learning policy of an infinite-horizon, discount...
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Multiple Kernel Learning from U-Statistics of Empirical Measures in the Feature Space
We propose a novel data-driven method to learn multiple kernels in kerne...
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Hongyi Ren
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