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The top documents tagged [regularization slide]
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regularization slide
1 International Organization for Migration The Problem of Irregular Migration: What Can Be Done to Combat Criminal People-Trafficking Networks? Paris,
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Ruixun Zhang Peking University Mentor: Prof. Ying Nian Wu Direct supervisor: Zhangzhang Si Department of Statistics.
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Parameter and Structure Learning Dhruv Batra, 10-708 Recitation 10/02/2008.
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1 Markov random field: A brief introduction (2) Tzu-Cheng Jen Institute of Electronics, NCTU 2007-07-25.
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Middle Term Exam 03/01 (Thursday), take home, turn in at noon time of 03/02 (Friday)
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Incorporation of Magnetic Resonance Sounding data into groundwater models through coupled and joint inversion 8th Annual Meeting of DWRIP 2014 JANUARY.
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DISCRIMINATIVE DECORELATION FOR CLUSTERING AND CLASSIFICATION ECCV 12 Bharath Hariharan, Jitandra Malik, and Deva Ramanan.
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Efficient and Numerically Stable Sparse Learning Sihong Xie 1, Wei Fan 2, Olivier Verscheure 2, and Jiangtao Ren 3 1 University of Illinois at Chicago,
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Effective gradient-free methods for inverse problems Jyri Leskinen FiDiPro DESIGN project.
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Deterministic and random Growth Models. (Some remarks on Laplacian growth). S.Rohde (University of Washington) M.Zinsmeister (MAPMO,Université d’Orléans.
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Maxent Implements “Maximum Entropy” modeling –Entropy = randomness –Maximizes randomness by removing patterns –The pattern is the response Website with.
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Model Assessment and Selection Florian Markowetz & Rainer Spang Courses in Practical DNA Microarray Analysis.
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