Papers
Concentration Bounds for Unigram Language Models
Evgeny Drukh, Yishay Mansour
Convergence Theorems for Generalized Alternating Minimization Procedures
Asela Gunawardana, William Byrne
Core Vector Machines: Fast SVM Training on Very Large Data Sets
Ivor W. Tsang, James T. Kwok, Pak-Ming Cheung
Data driven MCMC for Appearance-based Topological Mapping
Ananth Ranganathan, Frank Dellaert
Data Structure for Efficient Processing in 3-D
Jean-François Lalonde, Nicolas Vandapel, Martial Hebert
Denoising Source Separation
Jaakko Särelä, Harri Valpola
Diffusion Kernels on Statistical Manifolds
John Lafferty, Guy Lebanon
Dimension Reduction in Text Classification with Support Vector Machines
Hyunsoo Kim, Peg Howland, Haesun Park
Discriminative Training of Kalman Filters
Pieter Abbeel, Adam Coates, Michael Montemerlo et al.
Dynamic Maps for Long-Term Operation of Mobile Service Robots
Peter Biber, Tom Duckett
Dynamic Task Assignment in Robot Swarms
James McLurkin, Daniel Yamins
Effcient Motion Planning Based on Disassembly
Yuandong Yang, Oliver Brock
Efficient Computation of Gapped Substring Kernels on Large Alphabets
Juho Rousu, John Shawe-Taylor
Efficient Exploration With Latent Structure
Bethany R. Leffler, Michael L. Littman, Alexander L. Strehl et al.
Efficient Margin Maximizing with Boosting
Gunnar Rätsch, Manfred K. Warmuth
Estimating Functions for Blind Separation When Sources Have Variance Dependencies
Motoaki Kawanabe, Klaus-Robert Mü
Expectation Consistent Approximate Inference
Manfred Opper, Ole Winther
Fast Kernel Classifiers with Online and Active Learning
Antoine Bordes, Seyda Ertekin, Jason Weston et al.
Formation Stabilization of Multiple Agents Using Decentralized Navigation Functions
Herbert G. Tanner, Amit Kumar
Frames, Reproducing Kernels, Regularization and Learning
Alain Rakotomamonjy, Stéphane Canu
Gaussian Processes for Ordinal Regression
Wei Chu, Zoubin Ghahramani
Generalization Bounds for the Area Under the ROC Curve
Shivani Agarwal, Thore Graepel, Ralf Herbrich et al.