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151	Symbiosis of Search and Heuristics for Random 3-SAT Sid Mijnders, Boris de Wilde, and Marijn J. H. Heule ! Delft University of Technology, Delft, The Netherlands Abstract. When combined properly, search techniques can re Add to Reading List Source URL: www.st.ewi.tudelft.nl Language: English - Date: 2010-11-29 08:06:00 Graph theory Binary trees Heuristic function Heuristics Heuristic Boolean satisfiability problem Depth-first search Binary search tree Tree traversal Theoretical computer science Mathematics Search algorithms
152	Efficient Regression of General-Activity Human Poses from Depth Images Ross Girshick†? Jamie Shotton† Pushmeet Kohli† † Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2013-05-01 18:04:34 Computational statistics Random forest Regression analysis Tree Decision tree learning Object recognition Segmentation Decision trees Artificial intelligence Statistics
153	Bachelorarbeit Decision Forests for Regression Moritz Einfalt[removed] Add to Reading List Source URL: www.multimedia-computing.de Language: English - Date: 2014-12-02 06:09:53 Decision trees Ensemble learning Random forest Linear regression Predictive Model Markup Language Decision tree learning Statistics Regression analysis Econometrics
154	Finding Adam in random growing trees S´ebastien Bubeck ∗ Luc Devroye Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2014-11-13 00:16:29 Tree Graph coloring NP-complete problems Euclidean algorithm Graph theory Mathematics Theoretical computer science
155	The Giant Component: The Golden Anniversary Joel Spencer Paul Erd˝ os and Alfréd Rényi Add to Reading List Source URL: www.ams.org Language: English - Date: 2010-06-08 11:43:32 Random graphs Combinatorics Matroid theory Giant component Pseudoforest Probabilistic method Connectivity Tree SL Graph theory Mathematics Theoretical computer science
156	CS 330 – Spring 2013, Assignment 3 Problems due at the beginning of class on Thursday, February 28 Late assignments will only be accepted up until 11 AM, Friday, March 1 Question[removed]pts). Chapter 4, Exercise 19, on Add to Reading List Source URL: www.cs.bu.edu Language: English - Date: 2013-02-15 10:26:56 Graph Minimum spanning tree Tree Pseudoforest Path decomposition Graph theory Mathematics Random graph
157	Variance Reduction in Monte-Carlo Tree Search Joel Veness University of Alberta Marc Lanctot University of Alberta Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-03-21 23:53:44 Randomness Variance reduction Computational statistics Antithetic variates Algebra of random variables Control variates Variance Normal distribution Random variate Statistics Probability and statistics Monte Carlo methods
158	Graph Walks and Graphical Models William W. Cohen March 2010 CMU-ML[removed] Graph Walks and Graphical Models Add to Reading List Source URL: reports-archive.adm.cs.cmu.edu Language: English - Date: 2010-03-10 12:51:46 Graph operations Crowdsourcing PageRank Markov random field Tree decomposition Graph Centrality Graph theory Mathematics Networks
159	The Boundary Forest Algorithm for online supervised and unsupervised learning Charles Mathy Nate Derbinsky Disney Research Boston Wentworth Institute of Technology Add to Reading List Source URL: www.disneyresearch.com Language: English - Date: 2015-01-19 20:27:41 Search algorithms R-tree K-d tree K-nearest neighbor algorithm Tree traversal Random forest Supervised learning Tango tree Interval tree Machine learning Artificial intelligence Mathematics
160	Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition Jia Deng1,2 , Sanjeev Satheesh1 , Alexander C. Berg3 , Li Fei-Fei1 Computer Science Department, Stanford University1 Computer Science De Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-09-22 18:18:28 Support vector machine Classifier Multiclass classification Boosting methods for object categorization Random subspace method Statistics Statistical classification Linear classifier

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