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21	Inference, Models and Simulation for Complex Systems Lecture 13 Prof. Aaron Clauset 1 Add to Reading List Source URL: tuvalu.santafe.edu Language: English - Date: 2011-10-18 12:44:40 Graph theory Random graph Expander graph Tree Giant component Graph Connectivity Degree distribution Centrality ErdsRnyi model Pseudoforest
22	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Particle Filtering for Online Motion Planning with Task Specifications Berntorp, K.; Di Cairano, S. Add to Reading List Source URL: www.merl.com Language: English - Date: 2016-07-07 10:22:15 Statistical mechanics Robot control Sampling techniques Stochastic simulation Mechanical engineering Rapidly-exploring random tree Motion planning Particle filter Kalman filter Work Kinematics Acceleration
23	Microsoft PowerPoint - class-5-out.ppt [Compatibility Mode] Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2014-09-09 17:58:53 Graphical models Probability theory Belief propagation Coding theory Markov random field Factor graph Variable elimination Tree decomposition Logarithm Centrality
24	The freezing threshold for k-colourings of a random graph.∗ Michael Molloy† April 28, 2016 Abstract We determine the exact value of the freezing threshold, rk , for k-colourings of a random graph when Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2016-04-28 21:24:02 Graph coloring Kempe chain Neighbourhood Tree Regular graph Degree
25	Learning Minimal Latent Directed Information Trees Add to Reading List Source URL: coleman.ucsd.edu Language: English Graphical models Probability theory Statistical models Graph theory Markov random field Binary tree Graph
26	Running head: FINDING STRUCTURE IN DATA 1 Draft: Finding structure in data using multivariate tree boosting. Patrick J. Miller, Gitta H. Lubke, Daniel B. McArtor, C. S. Bergeman Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-01-21 20:09:36 Regression analysis Decision trees Statistical methods Econometrics Ensemble learning Nonparametric regression Random forest Decision tree learning Prediction Structural equation modeling Data analysis Decision tree
27	ENHANCING ACCURACY OF SYMMETRIC RANDOM WALKER IMAGE REGISTRATION VIA A NOVEL DATA-CONSISTENCY MEASURE Lisa Y. W. Tang1,2 and Roger Tam2 and Ghassan Hamarneh1 1 Medical Image Analysis Lab., School of Computing Science, S Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2016-02-06 13:56:22 Computer vision Image registration Medical imaging Random walk Watershed Minimum spanning tree
28	Approximating Connected Facility Location Problems via Random Facility Sampling and Core Detouring Thomas Rothvoß Institute of Mathematics ´ Add to Reading List Source URL: www.math.washington.edu Language: English - Date: 2013-11-01 17:11:36 NP-complete problems Operations research Approximation algorithms Steiner tree problem Facility location problem APX Approximation
29	Learning Tree Conditional Random Fields Joseph K. Bradley Carlos Guestrin Add to Reading List Source URL: select.cs.cmu.edu Language: English - Date: 2010-05-27 11:31:41
30	ballbotGracefulNavigation.dvi Add to Reading List Source URL: www.msl.ri.cmu.edu Language: English - Date: 2012-05-01 15:52:15 Robotics Ballbot Robot kinematics Search algorithms Motion planning Humanoid robot Motion Robot Rapidly-exploring random tree Mobile robot

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