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61	Revisiting Example Dependent Cost-Sensitive Learning with Decision Trees Oisin Mac Aodha Gabriel J. Brostow University College London http://visual.cs.ucl.ac.uk/pubs/costSensitive Add to Reading List Source URL: visual.cs.ucl.ac.uk Language: English - Date: 2013-10-13 13:11:56 Statistical classification Decision trees Data mining Ensemble learning Decision tree learning Random forest Support vector machine Binary classification Feature Statistics Machine learning Artificial intelligence
62	Planning Multi-Robot Grasping Motions Nikolaus Vahrenkamp, Enrico Kuhn, Tamim Asfour and R¨udiger Dillmann Institute for Anthropomatics Karlsruhe Institute of Technology Adenauerring 2, 76131 Karlsruhe, Germany Email: { Add to Reading List Source URL: wwwiaim.ira.uka.de Language: English - Date: 2010-11-15 15:28:59 Inverse problems Motion planning Theoretical computer science Rapidly-exploring random tree Humanoid robot Inverse kinematics Robot Mobile robot ROS Robotics Robot kinematics Robot control
63	Asymptotic Optimality in Sampling-based Motion Planning Sertac Karaman Although one of the fundamental problems in robotics, the motion planning problem is inherently hard from a computational point of view. In particula Add to Reading List Source URL: www.cse.unr.edu Language: English - Date: 2012-12-20 19:29:35 Robot control Search algorithms Rapidly-exploring random tree Motion planning Algorithm Asymptotic computational complexity Asymptotically optimal algorithm Probabilistic roadmap Shortest path problem Applied mathematics Mathematics Theoretical computer science
64	Concise Integer Linear Programming Formulations for Dependency Parsing ∗ Andr´e F. T. Martins∗† Noah A. Smith∗ Eric P. Xing∗ School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2009-05-19 09:57:02 Compiler construction Formal languages LL parser Dependency grammar Linear programming Parse tree Conditional random field Combinatory logic Directed graph Mathematics Graph theory Theoretical computer science
65	Learning Random Forests on the GPU Yisheng Liao Alex Rubinsteyn Russell Power Add to Reading List Source URL: news.cs.nyu.edu Language: English - Date: 2013-12-30 17:42:13 Parallel computing Computer hardware Graphics hardware Decision trees Random forest CUDA Decision tree learning Graphics processing unit Data parallelism Computing Machine learning GPGPU
66	Batch Informed Trees (BIT): Sampling-based Optimal Planning via the Heuristically Guided Search of Implicit Random Geometric Graphs arXiv:1405.5848v6 [cs.RO] 26 FebJonathan D. Gammell1 , Siddhartha S. Srinivasa2 Add to Reading List Source URL: www.ri.cmu.edu Language: English* - Date: 2015-05-20 10:11:27 Search algorithms Combinatorial optimization Routing algorithms Rapidly-exploring random tree Robot control Shortest path problem A* search algorithm Graph Connectivity Mathematics Graph theory Theoretical computer science
67	Informed RRT: Optimal Sampling-based Path Planning Focused via Direct Sampling of an Admissible Ellipsoidal Heuristic Jonathan D. Gammell1 , Siddhartha S. Srinivasa2 , and Timothy D. Barfoot1 Abstract— Rapidly-explori Add to Reading List Source URL: www.ri.cmu.edu Language: English* - Date: 2014-07-22 11:25:05 Heuristics Artificial intelligence Rapidly-exploring random tree Robot control Combinatorial optimization Routing algorithms Heuristic function A* search algorithm Motion planning Search algorithms Mathematics Applied mathematics
68	Nonprehensile Whole Arm Rearrangement Planning on Physics Manifolds Jennifer E. King⇤ , Joshua A. Haustein† , Siddhartha S. Srinivasa⇤ , Tamim Asfour† ⇤ Carnegie Mellon University (CMU), † Karlsruhe Institute Add to Reading List Source URL: www.ri.cmu.edu Language: English - Date: 2015-05-11 13:02:41 Motion planning Theoretical computer science Probabilistic roadmap Rapidly-exploring random tree Planner Robot Collision detection Causality Robotics Robot control Artificial intelligence
69	Planning for Robust Execution of Humanoid Motions Using Future Perceptive Capability Add to Reading List Source URL: wwwiaim.ira.uka.de Language: English - Date: 2009-08-21 03:36:14 Motion planning Theoretical computer science Humanoid robot Robot Visual Servoing Rapidly-exploring random tree Mobile robot ROS Degrees of freedom Robotics Robot kinematics Robot control

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