Convex optimization

Results: 1096



#Item
71Journal of Machine Learning ResearchSubmitted 8/13; PublishedPyStruct - Learning Structured Prediction in Python Andreas C. M¨

Journal of Machine Learning ResearchSubmitted 8/13; PublishedPyStruct - Learning Structured Prediction in Python Andreas C. M¨

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Source URL: amueller.github.io

Language: English - Date: 2016-08-04 15:59:56
72REVIEW SHEET FOR FINAL: BASIC MATH 195, SECTION 59 (VIPUL NAIK) The document does not include material that was part of the midterm 1 and midterm 2 review sessions. Please also bring copies of these review sheets to the

REVIEW SHEET FOR FINAL: BASIC MATH 195, SECTION 59 (VIPUL NAIK) The document does not include material that was part of the midterm 1 and midterm 2 review sessions. Please also bring copies of these review sheets to the

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Source URL: files.vipulnaik.com

Language: English - Date: 2016-08-13 11:33:29
73MAXIMUM AND MINIMUM VALUES: EXAMPLES MATH 195, SECTION 59 (VIPUL NAIK) What students should hopefully get: The description of critical points, local extreme values, and absolute extreme values for additively separable fu

MAXIMUM AND MINIMUM VALUES: EXAMPLES MATH 195, SECTION 59 (VIPUL NAIK) What students should hopefully get: The description of critical points, local extreme values, and absolute extreme values for additively separable fu

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Source URL: files.vipulnaik.com

Language: English - Date: 2016-08-13 11:33:29
74PRACTICAL EXPERIENCE WITH A MAP LABEL PLACEMENT PROGRAM Steven Zoraster Stephen Bayer ZYCOR, Inc. 220 Foremost Austin, Texas 78745

PRACTICAL EXPERIENCE WITH A MAP LABEL PLACEMENT PROGRAM Steven Zoraster Stephen Bayer ZYCOR, Inc. 220 Foremost Austin, Texas 78745

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Source URL: mapcontext.com

Language: English - Date: 2008-08-30 00:28:38
75CS261: Exercise Set #5 For the week of February 1–5, 2016 Instructions: (1) Do not turn anything in. (2) The course staff is happy to discuss the solutions of these exercises with you in office hours or on Piazza.

CS261: Exercise Set #5 For the week of February 1–5, 2016 Instructions: (1) Do not turn anything in. (2) The course staff is happy to discuss the solutions of these exercises with you in office hours or on Piazza.

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Source URL: theory.stanford.edu

Language: English - Date: 2016-02-06 20:00:38
76LNAICatenary Support Vector Machines

LNAICatenary Support Vector Machines

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Source URL: rlair.cs.ucr.edu

Language: English - Date: 2011-01-19 19:25:43
77Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization: Supplementary Material A

Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization: Supplementary Material A

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Source URL: psl.umiacs.umd.edu

Language: English - Date: 2013-06-14 19:26:47
78Large-margin Structured Learning for Link Ranking  Stephen H. Bach Bert Huang Lise Getoor Department of Computer Science University of Maryland College Park, MD 20742

Large-margin Structured Learning for Link Ranking Stephen H. Bach Bert Huang Lise Getoor Department of Computer Science University of Maryland College Park, MD 20742

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Source URL: stephenbach.net

Language: English - Date: 2013-11-15 12:01:19
7995  Documenta Math. ¨ wner–John Ellipsoids Lo

95 Documenta Math. ¨ wner–John Ellipsoids Lo

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Source URL: documenta.sagemath.org

Language: English - Date: 2012-07-25 10:24:47
80From Convex Optimization to Randomized Mechanisms: Toward Optimal Combinatorial Auctions∗ Shaddin Dughmi† Tim Roughgarden‡

From Convex Optimization to Randomized Mechanisms: Toward Optimal Combinatorial Auctions∗ Shaddin Dughmi† Tim Roughgarden‡

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Source URL: www.qiqiyan.com.s3-website-us-east-1.amazonaws.com

Language: English - Date: 2012-07-04 18:28:36