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Results: 293



#Item
241Rapidly-exploring random tree / Mathematics / Motion planning / Artificial intelligence / Applied mathematics / Probabilistic roadmap / Inverse kinematics / Voronoi diagram / Robotics / Robot control / Robot kinematics / Computational physics

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
242Geometry / Optimal control / Mathematical optimization / Metric geometry / Rapidly-exploring random tree / Robot control / Metric / A* search algorithm / Dynamic programming / Mathematics / Control theory / Search algorithms

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
243Computer programming / Formal languages / Conditional random field / Machine learning / Theoretical computer science / Information extraction / Parse tree / Parsing / Segmentation / Computing / Software engineering / Natural language processing

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
244Graphical models / Probability theory / Networks / Graph operations / Tree decomposition / Markov random field / Clique / Approximation algorithm / Optimization problem / Graph theory / Theoretical computer science / Applied mathematics

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
245Ensemble learning / Regression analysis / Data analysis / Data mining / Random forest / Logistic regression / Decision tree learning / Data set / Nonparametric regression / Statistics / Machine learning / Decision trees

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
246Machine learning / Statistical models / Graphical models / Data mining / Decision tree learning / Random variable / Variable / Bayesian network / Normal distribution / Statistics / Mathematics / Probability and statistics

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
247Matroid theory / Graph operations / Vertex / Neighbourhood / Tree / Random graph / Pseudoforest / Line graph / Graph theory / Planar graphs / Graph

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
248Econometrics / Machine learning / Non-parametric statistics / Decision tree learning / Linear regression / Random forest / Recursive partitioning / Logistic regression / Akaike information criterion / Statistics / Regression analysis / Decision trees

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
249Randomness / Feature selection / Random permutation / Variance / Sampling / Decision tree learning / Statistics / Resampling / Statistical inference

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
250Models of computation / Quantum information science / Decision tree model / Quantum algorithm / PP / Randomized algorithm / Binary tree / Quantum computer / Random binary tree / Theoretical computer science / Applied mathematics / Computational complexity theory

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
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