Papers
Star-shaped Roadmaps - A Deterministic Sampling Approach for Complete Motion Planning
Gokul Varadhan, Dinesh Manocha
Three Dimensional Stochastic Reconfiguration of Modular Robots
Paul White, Victor Zykov, Josh Bongard et al.
Time Complexity of Sensor-Based Vehicle Routing
Vikrant Sharma, Michael Savchenko, Emilio Frazzoli et al.
Topological Mapping with Multiple Visual Manifolds
Greg Grudic, Jane Mulligan
Toward Optimal Configuration Space Sampling
Brendan Burns, Oliver Brock
Tree-Based Batch Mode Reinforcement Learning
Damien Ernst, Pierre Geurts, Louis Wehenkel
Universal Algorithms for Learning Theory Part I : Piecewise Constant Functions
Peter Binev, Albert Cohen, Wolfgang Dahmen et al.
Variational Message Passing
John Winn, Christopher M. Bishop
Vision-based Distributed Coordination and Flocking of Multi-agent Systems
Nima Moshtagh, Ali Jadbabaie, Kostas Daniilidis
Visually Navigating the RMS Titanic with SLAM Information Filters
Ryan Eustice, Hanumant Singh, John Leonard et al.
What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks
Weng-Keen Wong, Andrew Moore, Gregory Cooper et al.
Working Set Selection Using Second Order Information for Training Support Vector Machines
Rong-En Fan, Pai-Hsuen Chen, Chih-Jen Lin
σMCL: Monte-Carlo Localization for Mobile Robots with Stereo Vision
Pantelis Elinas, James J. Little
A Compression Approach to Support Vector Model Selection
Ulrike von Luxburg, Olivier Bousquet, Bernhard
Schölkopf
A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation
Andreas Ziehe, Pavel Laskov, Guido Nolte et al.
A Geometric Approach to Multi-Criterion Reinforcement Learning
Shie Mannor, Nahum Shimkin
Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods
Giorgio Valentini, Thomas G. Dietterich
Boosting as a Regularized Path to a Maximum Margin Classifier
Saharon Rosset, Ji Zhu, Trevor Hastie
Computable Shell Decomposition Bounds
John Langford, David McAllester
Condition of Projectivity in the Underlying Dependency Structures
Kateřina Veselá, Jiří Havelka, Eva Hajičová
Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces
Kenji Fukumizu, Francis R. Bach, Michael I. Jordan
Distance-Based Classification with Lipschitz Functions
Ulrike von Luxburg, Olivier Bousquet