Submodular set function

Results: 171



#Item
51Learning Submodular Losses with the Lov´ asz Hinge Jiaqian Yu, Matthew Blaschko To cite this version: Jiaqian Yu, Matthew Blaschko. Learning Submodular Losses with the Lov´asz Hinge. International Conference on Machine

Learning Submodular Losses with the Lov´ asz Hinge Jiaqian Yu, Matthew Blaschko To cite this version: Jiaqian Yu, Matthew Blaschko. Learning Submodular Losses with the Lov´asz Hinge. International Conference on Machine

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Source URL: hal.inria.fr

Language: English
52Near-optimal Sensor Placements: Maximizing Information while Minimizing Communication Cost Andreas Krause Carlos Guestrin

Near-optimal Sensor Placements: Maximizing Information while Minimizing Communication Cost Andreas Krause Carlos Guestrin

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Source URL: select.cs.cmu.edu

Language: English - Date: 2009-08-13 03:47:05
53Submodular Surrogates for Value of Information Yuxin Chen Shervin Javdani  Amin Karbasi

Submodular Surrogates for Value of Information Yuxin Chen Shervin Javdani Amin Karbasi

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Source URL: www.ri.cmu.edu

Language: English - Date: 2015-01-12 10:51:27
541370  IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 36,

1370 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 36,

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Source URL: cvgl.stanford.edu

Language: English - Date: 2014-10-15 19:57:00
55Efficient Touch Based Localization through Submodularity Shervin Javdani, Matthew Klingensmith, J. Andrew Bagnell, Nancy S. Pollard, Siddhartha S. Srinivasa The Robotics Institute, Carnegie Mellon University {sjavdani, m

Efficient Touch Based Localization through Submodularity Shervin Javdani, Matthew Klingensmith, J. Andrew Bagnell, Nancy S. Pollard, Siddhartha S. Srinivasa The Robotics Institute, Carnegie Mellon University {sjavdani, m

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Source URL: www.ri.cmu.edu

Language: English - Date: 2013-04-23 14:31:00
56Near-optimal Adaptive Pool-based Active Learning with General Loss  Nguyen Viet Cuong Department of Computer Science National University of Singapore

Near-optimal Adaptive Pool-based Active Learning with General Loss Nguyen Viet Cuong Department of Computer Science National University of Singapore

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Source URL: www.comp.nus.edu.sg

Language: English - Date: 2014-07-04 08:21:02
57informs  MATHEMATICS OF OPERATIONS RESEARCH Vol. 00, No. 0, Xxxxxx 20xx, pp. xxx–xxx ISSN 0364-765X | EISSN |xx|0000|0xxx

informs MATHEMATICS OF OPERATIONS RESEARCH Vol. 00, No. 0, Xxxxxx 20xx, pp. xxx–xxx ISSN 0364-765X | EISSN |xx|0000|0xxx

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Source URL: www.cs.technion.ac.il

Language: English - Date: 2012-09-10 09:13:15
58Fair and Balanced: Learning to Present News Stories Amr Ahmed∗1 , Choon Hui Teo∗1 , S.V. N. Vishwanathan2 , Alex Smola1 2 1 Yahoo! Research, Santa Clara, CA 95053, USA

Fair and Balanced: Learning to Present News Stories Amr Ahmed∗1 , Choon Hui Teo∗1 , S.V. N. Vishwanathan2 , Alex Smola1 2 1 Yahoo! Research, Santa Clara, CA 95053, USA

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Source URL: www.stat.purdue.edu

Language: English - Date: 2012-02-26 10:11:37
59Journal of Artificial Intelligence Research755  Submitted 08/08; publishedEfficient Informative Sensing using Multiple Robots Amarjeet Singh

Journal of Artificial Intelligence Research755 Submitted 08/08; publishedEfficient Informative Sensing using Multiple Robots Amarjeet Singh

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Source URL: jair.org

Language: English - Date: 2009-04-27 17:50:45
60Near-optimal Adaptive Pool-based Active Learning with General Loss  Nguyen Viet Cuong Department of Computer Science National University of Singapore

Near-optimal Adaptive Pool-based Active Learning with General Loss Nguyen Viet Cuong Department of Computer Science National University of Singapore

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Source URL: www.comp.nus.edu.sg

Language: English - Date: 2014-08-21 11:01:30