Lagrangian relaxation

Results: 38



#Item
21Distributed Optimization for Cooperative Agents: Application to Formation Flight.

Distributed Optimization for Cooperative Agents: Application to Formation Flight.

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Source URL: www.eecs.berkeley.edu

Language: English - Date: 2007-01-10 20:11:51
22Lagrangian Relaxation Algorithms for Inference in Natural Language Processing Alexander M. Rush and Michael Collins (based on joint work with Yin-Wen Chang, Tommi Jaakkola, Terry Koo, Roi Reichart, David Sontag)

Lagrangian Relaxation Algorithms for Inference in Natural Language Processing Alexander M. Rush and Michael Collins (based on joint work with Yin-Wen Chang, Tommi Jaakkola, Terry Koo, Roi Reichart, David Sontag)

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Source URL: people.csail.mit.edu

Language: English - Date: 2013-11-03 15:46:38
23Optimal Beam Search for Machine Translation Alexander M. Rush Yin-Wen Chang MIT CSAIL, Cambridge, MA 02139, USA {srush, yinwen}@csail.mit.edu

Optimal Beam Search for Machine Translation Alexander M. Rush Yin-Wen Chang MIT CSAIL, Cambridge, MA 02139, USA {srush, yinwen}@csail.mit.edu

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Source URL: people.csail.mit.edu

Language: English - Date: 2013-09-23 11:49:02
24Exact Decoding of Syntactic Translation Models Through Lagrangian Relaxation Alexander M. Rush and Michael Collins Syntactic Translation Problem:

Exact Decoding of Syntactic Translation Models Through Lagrangian Relaxation Alexander M. Rush and Michael Collins Syntactic Translation Problem:

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Source URL: people.csail.mit.edu

Language: English - Date: 2011-06-20 18:16:31
25Exact Decoding of Syntactic Translation Models through Lagrangian Relaxation Alexander M. Rush MIT CSAIL, Cambridge, MA 02139, USA [removed]

Exact Decoding of Syntactic Translation Models through Lagrangian Relaxation Alexander M. Rush MIT CSAIL, Cambridge, MA 02139, USA [removed]

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Source URL: people.csail.mit.edu

Language: English - Date: 2011-04-24 21:30:32
26A Tutorial on Dual Decomposition and Lagrangian Relaxation for Inference in Natural Language Processing Alexander M. Rush1,2 Michael Collins2  SRUSH @ CSAIL . MIT. EDU

A Tutorial on Dual Decomposition and Lagrangian Relaxation for Inference in Natural Language Processing Alexander M. Rush1,2 Michael Collins2 SRUSH @ CSAIL . MIT. EDU

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Source URL: www.cs.columbia.edu

Language: English - Date: 2012-04-23 09:24:42
27Convex Relaxation Methods for Graphical Models: Lagrangian and Maximum Entropy Approaches by Jason K. Johnson  Submitted to the Department of Electrical Engineering and Computer Science in

Convex Relaxation Methods for Graphical Models: Lagrangian and Maximum Entropy Approaches by Jason K. Johnson Submitted to the Department of Electrical Engineering and Computer Science in

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Source URL: ssg.mit.edu

Language: English - Date: 2012-02-01 13:34:55
28Resource Allocation with Flexible Channel Cooperation in Cognitive Radio Networks Hong Xu, Student Member, IEEE, Baochun Li, Senior Member, IEEE Abstract—We study the resource allocation problem in an OFDMA based coope

Resource Allocation with Flexible Channel Cooperation in Cognitive Radio Networks Hong Xu, Student Member, IEEE, Baochun Li, Senior Member, IEEE Abstract—We study the resource allocation problem in an OFDMA based coope

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Source URL: www.savinetwork.ca

Language: English - Date: 2013-10-03 15:37:30
29Distributed Base-Station Activation for Energy-Efficient Operation of Cellular Networks∗ Ali Abbasi Majid Ghaderi

Distributed Base-Station Activation for Energy-Efficient Operation of Cellular Networks∗ Ali Abbasi Majid Ghaderi

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Source URL: www.savinetwork.ca

Language: English - Date: 2013-10-03 15:37:30
30Distributed Base Station Activation for Energy-Efficient ∗ Operation of Cellular Networks Ali Abbasi  Majid Ghaderi

Distributed Base Station Activation for Energy-Efficient ∗ Operation of Cellular Networks Ali Abbasi Majid Ghaderi

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Source URL: www.savinetwork.ca

Language: English - Date: 2013-10-03 15:36:59