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1	INFINITE CYCLES IN THE RANDOM STIRRING MODEL ON TREES ALAN HAMMOND Abstract. We prove that, in the random stirring model of parameter T > 0 on an inﬁnite rooted tree each of whose vertices has at least two oﬀspring, Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2012-02-10 10:50:33
2	SHARP PHASE TRANSITION IN THE RANDOM STIRRING MODEL ON TREES ALAN HAMMOND Abstract. We establish that the phase transition for infinite cycles in the random stirring model on an infinite regular tree of high degree is sh Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2013-11-18 12:23:26
3	Depth of a Random Binary Search Tree with Concurrent Insertions James Aspnes1 and Eric Ruppert2 Yale University, USA York University, Canada Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2018-08-06 22:17:57
4	Appendix 1: Random Plots Workbook: Stratified Sample These instructions will help users of all skill levels create a random sample of i-Tree Eco plot centers, plot areas, and the associated i-Tree Eco-required data files Add to Reading List Source URL: www.itreetools.org Language: English - Date: 2012-10-04 14:28:35
5	i-Tree Canopy www.itreetools.org/canopy Quickly determine tree canopy and other cover types for a study area using random plot sampling! Add to Reading List Source URL: www.itreetools.org - Date: 2016-04-27 16:52:21
6	Sampling-Based Spacecraft Motion Planning Ashley Clark, Lucas Janson, Joseph Starek, Edward Schmerling, and Marco Pavone (PI) Autonomous Systems Laboratory, Department of Aeronautics and Astronautics, Stanford University Add to Reading List Source URL: scpnt.stanford.edu Language: English - Date: 2013-11-20 20:27:41 Search algorithms Robot kinematics Mathematics Information science Information retrieval Motion planning Theoretical computer science Spacecraft Minimum spanning tree Docking and berthing of spacecraft Rapidly-exploring random tree Real-time Search
7	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 Add to Reading List Source URL: eglassman.github.io Language: English - Date: 2016-07-29 16:41:12 Mathematics Search algorithms Geometry Space Metric geometry Optimal control Mathematical optimization Rapidly-exploring random tree Robot navigation A* search algorithm K-nearest neighbors algorithm Metric
8	arXiv:1602.07940v2 [physics.data-an] 6 MayThe scaling of the minimum sum of edge lengths in uniformly random trees Juan Luis Esteban1 , Ramon Ferrer-i-Cancho2 and Carlos G´ Add to Reading List Source URL: www.grupolys.org Language: English - Date: 2016-05-11 06:39:57 Graph theory NP-complete problems Spanning tree Axiom of choice Graph coloring Tree
9	Microsoft PowerPoint - Chapterpptx Add to Reading List Source URL: www.ife.ee.ethz.ch Language: English - Date: 2015-10-20 04:16:31 Decision trees Machine learning Artificial intelligence Learning Decision tree learning C4.5 algorithm Feature selection Supervised learning Bootstrap aggregating Pruning Random forest Tree
10	Learning Online Smooth Predictors for Realtime Camera Planning using Recurrent Decision Trees ˚ Jianhui Chen ˚ Add to Reading List Source URL: www.yisongyue.com Language: English - Date: 2016-03-21 19:21:46 Machine learning Artificial intelligence Learning Kalman filter Decision tree learning Conditional random field Pattern recognition Loss function Semi-supervised learning Structured prediction Prediction Artificial neural network

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