Papers
4,122 papers found
Analysis of Variance of Cross-Validation Estimators of the Generalization Error
Marianthi Markatou, Hong Tian, Shameek Biswas et al.
An MDP-Based Recommender System
Guy Shani, David Heckerman, Ronen I. Brafman
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
A Unifying View of Sparse Approximate Gaussian Process Regression
Joaquin Quiñonero-Candela, Carl Edward Rasmussen
Change Point Problems in Linear Dynamical Systems
Onno Zoeter, Tom Heskes
Clustering on the Unit Hypersphere using von Mises-Fisher Distributions
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh et al.
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
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
Efficient Computation of Gapped Substring Kernels on Large Alphabets
Juho Rousu, John Shawe-Taylor
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.
Frames, Reproducing Kernels, Regularization and Learning
Alain Rakotomamonjy, Stéphane Canu