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Statistical theory / Kullback–Leibler divergence / Vector calculus / Divergence / Normal distribution / Mixture model / Logarithm / Statistics / Geometry / Bregman divergence


The Bregman Variational Dual-Tree Framework Saeed Amizadeh Intelligent Systems Program University of Pittsburgh Pittsburgh, PA 15213
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Document Date: 2015-01-06 14:28:10


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Newsgroup / R. Duraiswami N.A. / Morgan Kufmann Publishers Inc. / News Articles BBC News Articles 20 Newsgroup / Neural Information Processing Systems / MIT Press / Bregman Anchor Trees / BBC News / /

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Jordan / United States / /

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Computer Science University of Pittsburgh Pittsburgh / Carnegie Mellon University / Bregman Variational Dual-Tree Framework Saeed Amizadeh Intelligent Systems Program University of Pittsburgh Pittsburgh / /

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heterogeneous information networks / scientific applications / Stable algorithms / agglomerative clustering algorithm / real applications / construction algorithm / Similarity search / anchor tree construction algorithm / /

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National Institute of Health / VLDB Endowment / National Science Foundation / MIT / Assoc. for Comp / Computer Science University of Pittsburgh Pittsburgh / Bregman Variational Dual-Tree Framework Saeed Amizadeh Intelligent Systems Program University of Pittsburgh Pittsburgh / ML Milos Hauskrecht Department / Carnegie Mellon University / Pittsburgh / A X / Bo Thiesson Department of Computer Science Aalborg University Aalborg / /

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Ken Lang / Milos Hauskrecht / /

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representative / mixture model for data generation / /

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Exact / /

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ML / /

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Pennsylvania / /

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Machine Learning / Journal of Machine Learning Research / The Journal of Machine Learning Research / /

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artificial intelligence / agglomerative clustering algorithm / time algorithm / anchor tree construction algorithm / Machine Learning / SSL / construction algorithm / /

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