Papers
172,654 papers found
Assessing Approximate Inference for Binary Gaussian Process Classification
Malte Kuss, Carl Edward Rasmussen
Asymptotic Model Selection for Naive Bayesian Networks
Dmitry Rusakov, Dan Geiger
Asymptotics in Empirical Risk Minimization
Leila Mohammadi, Sara van de Geer
Auction-Based Multi-Robot Routing
Michail G. Lagoudakis, Evangelos Markakis, David Kempe et al.
A Unifying View of Sparse Approximate Gaussian Process Regression
Joaquin Quiñonero-Candela, Carl Edward Rasmussen
Biologically Inspired Miniature Water Strider Robot
Steve H. Suhr, Yun Seong Song, Sang Jun Lee et al.
Blind Swarms for Coverage in 2-D
Vin de Silva, Robert Ghrist, Abubakr Muhammad
Change Point Problems in Linear Dynamical Systems
Onno Zoeter, Tom Heskes
Clustering with Bregman Divergences
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon et al.
Combining Information Extraction Systems Using Voting and Stacked Generalization
Georgios Sigletos, Georgios Paliouras, Constantine D. Spyropoulos et al.
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 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