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241Path Planning in 1000+ Dimensions Using a Task-Space Voronoi Bias Alexander Shkolnik and Russ Tedrake Abstract— The reduction of the kinematics and/or dynamics of a high-DOF robotic manipulator to a low-dimension “ta

Path Planning in 1000+ Dimensions Using a Task-Space Voronoi Bias Alexander Shkolnik and Russ Tedrake Abstract— The reduction of the kinematics and/or dynamics of a high-DOF robotic manipulator to a low-dimension “ta

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Source URL: groups.csail.mit.edu

Language: English - Date: 2009-02-16 23:29:07
242A Quadratic Regulator-Based Heuristic for Rapidly Exploring State Space Elena Glassman and Russ Tedrake Abstract— Kinodynamic planning algorithms like RapidlyExploring Randomized Trees (RRTs) hold the promise of findin

A Quadratic Regulator-Based Heuristic for Rapidly Exploring State Space Elena Glassman and Russ Tedrake Abstract— Kinodynamic planning algorithms like RapidlyExploring Randomized Trees (RRTs) hold the promise of findin

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Source URL: groups.csail.mit.edu

Language: English - Date: 2010-04-27 13:54:57
243Extracting Opinion Expressions with semi-Markov Conditional Random Fields

Extracting Opinion Expressions with semi-Markov Conditional Random Fields

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Source URL: www.cs.cornell.edu

Language: English - Date: 2013-11-07 08:14:03
244Efficient Inference with Cardinality-based Clique Potentials  Rahul Gupta IBM Research Lab, New Delhi, India Ajit A. Diwan Sunita Sarawagi

Efficient Inference with Cardinality-based Clique Potentials Rahul Gupta IBM Research Lab, New Delhi, India Ajit A. Diwan Sunita Sarawagi

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Source URL: www.machinelearning.org

Language: English - Date: 2008-12-01 11:26:26
245Big Data: New Tricks for Econometrics Hal R. Varian∗ June 2013 Revised: April 14, 2014  Abstract

Big Data: New Tricks for Econometrics Hal R. Varian∗ June 2013 Revised: April 14, 2014 Abstract

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Source URL: people.ischool.berkeley.edu

Language: English - Date: 2014-04-14 14:56:01
246Generalized Skewing for Functions with Continuous and Nominal Attributes Soumya Ray [removed] David Page [removed]

Generalized Skewing for Functions with Continuous and Nominal Attributes Soumya Ray [removed] David Page [removed]

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Source URL: www.machinelearning.org

Language: English - Date: 2008-12-01 11:14:18
247Package ‘igraph’ July 2, 2014 Version[removed]Date[removed]Title Network analysis and visualization Author See AUTHORS file.

Package ‘igraph’ July 2, 2014 Version[removed]Date[removed]Title Network analysis and visualization Author See AUTHORS file.

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Source URL: cran.r-project.org

Language: English - Date: 2014-07-02 12:10:48
248Package ‘partykit’ July 2, 2014 Title A Toolkit for Recursive Partytioning Date[removed]Version[removed]Description A toolkit with infrastructure for representing, summarizing, and

Package ‘partykit’ July 2, 2014 Title A Toolkit for Recursive Partytioning Date[removed]Version[removed]Description A toolkit with infrastructure for representing, summarizing, and

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Source URL: cran.r-project.org

Language: English - Date: 2014-07-02 15:58:31
249Quantitative Association Analysis Using Tree Hierarchies Feng Pan 1 , Lynda Yang 1 , Leonard McMillan 1 , Fernando Pardo Manuel de Villena 2 , David Threadgill 2 and Wei Wang 1 1 Department of Computer Science, 2 Departm

Quantitative Association Analysis Using Tree Hierarchies Feng Pan 1 , Lynda Yang 1 , Leonard McMillan 1 , Fernando Pardo Manuel de Villena 2 , David Threadgill 2 and Wei Wang 1 1 Department of Computer Science, 2 Departm

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Source URL: www.cs.ucla.edu

Language: English - Date: 2008-12-26 20:05:28
250Almost all decision trees do not allow significant quantum speed-up Ashley Montanaro∗ arXiv:1209.4781v1 [quant-ph] 21 Sep[removed]September 24, 2012

Almost all decision trees do not allow significant quantum speed-up Ashley Montanaro∗ arXiv:1209.4781v1 [quant-ph] 21 Sep[removed]September 24, 2012

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Source URL: arxiv.org

Language: English - Date: 2012-09-23 20:07:50