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121	THE HEIGHT OF INCREASING TREES MICHAEL DRMOTA Abstract. Increasing trees have been introduced by Bergeron, Flajolet and Salvy [1]. This kind of notion covers several well knows classes of random trees like binary search Add to Reading List Source URL: www.dmg.tuwien.ac.at Language: English - Date: 2006-12-08 08:10:33 Number theory Recursive tree Symbol Mathematics Combinatorics Factorial
122	ON THE SHAPE OF THE FRINGE OF VARIOUS TYPES OF RANDOM TREES MICHAEL DRMOTA1 , BERNHARD GITTENBERGER1 , ALOIS PANHOLZER1 , HELMUT PRODINGER2 , AND MARK DANIEL WARD3 Abstract. We analyze a fringe tree parameter w in a vari Add to Reading List Source URL: www.dmg.tuwien.ac.at Language: English - Date: 2008-05-26 02:08:58 Computing Normal distribution Binary search tree Symbol Rope B-tree Recursive tree Binary trees Graph theory Data management
123	Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction Valentin I. Spitkovsky Hiyan Alshawi Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2014-10-31 12:54:44 Computational linguistics Markov models Estimation theory Expectation–maximization algorithm Missing data Word-sense disambiguation Parse tree Random walk Parsing Statistics Linguistics Science
124	Probability of connectedness of labelled graphs Keith Briggs more.btexact.com/people/briggsk2/ CRG 2004 Sep Add to Reading List Source URL: keithbriggs.info Language: English - Date: 2005-07-05 12:48:51 Matroid theory Pseudoforest Graph Factorial Tree Logarithm Random graph Mathematics Graph theory Combinatorics
125	On the Hyperbolicity of Small-World and Tree-Like Random Graphs Wei Chen1 , Wenjie Fang2 , Guangda Hu3 , and Michael W. Mahoney4 1 Microsoft Research Asia Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2013-02-22 15:51:39 Geometric group theory Hyperbolic group Metric geometry Graph Random graph Circle graph Tree Connectivity Graph coloring Graph theory Mathematics Combinatorics
126	Classification and Trees Luc Devroye School of Computer Science, McGill University Montreal, Canada H3A 2K6 This paper is dedicated to the memory of Pierre Devijver. Add to Reading List Source URL: www.ee.surrey.ac.uk Language: English - Date: 2011-07-07 10:04:15 Decision trees Ensemble learning Random forest Decision tree learning Statistical classification Perceptron Machine learning Computational statistics Artificial intelligence
127	Boosting Flexible Learning Ensembles with Dynamic Feature Selection Add to Reading List Source URL: clopinet.com Language: English - Date: 2003-12-15 08:14:06 Econometrics Machine learning Decision tree learning Random forest Feature selection Linear regression Statistics Regression analysis Decision trees
128	2013 IEEE 13th International Conference on Data Mining Tree-like structure in large social and information networks Aaron B. Adcock Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2014-06-25 12:27:24 Degeneracy Hyperbolic group Random graph Graph Degree distribution Complex network Degree Connectivity Path decomposition Graph theory Mathematics Tree decomposition
129	THE SCIENTIFIC WORKS OF RAINER KEMP (1949–2004) PHILIPPE FLAJOLET, MARKUS NEBEL, AND HELMUT PRODINGER‡ Abstract. This short note presents a summary of the scientific contributions of Rainer Kemp (1949–2004) in the Add to Reading List Source URL: algo.inria.fr Language: English - Date: 2005-04-08 09:13:55 Combinatorics Enumerative combinatorics Self-balancing binary search tree Binary search tree Tree B-tree Catalan number The Art of Computer Programming Random permutation statistics Binary trees Mathematics Computing
130	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 52, NO. 12, DECEMBER[removed]Evaluating Tree Detection and Segmentation Routines on Very High Resolution Add to Reading List Source URL: www.lucieer.net Language: English - Date: 2014-11-24 00:21:30 Data mining Decision trees LIDAR Robotic sensing Search algorithms Random forest Cluster analysis Algorithm K-nearest neighbor algorithm Machine learning Statistics Artificial intelligence