Papers
176,624 papers found
Efficient Exact Inference in Planar Ising Models
Nicol N. Schraudolph, Dmitry Kamenetsky
Efficient Inference in Phylogenetic InDel Trees
Alexandre Bouchard-côté, Dan Klein, Michael I. Jordan
Efficient Sampling for Gaussian Process Inference using Control Variables
Neil D. Lawrence, Magnus Rattray, Michalis K. Titsias
Empirical performance maximization for linear rank statistics
Stéphan J. Clémençcon, Nicolas Vayatis
Estimating Robust Query Models with Convex Optimization
Kevyn Collins-thompson
Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers
Bo Jiang, Xuegong Zhang, Tianxi Cai
Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG
Julia Owen, Hagai T. Attias, Kensuke Sekihara et al.
Estimating vector fields using sparse basis field expansions
Stefan Haufe, Vadim V. Nikulin, Andreas Ziehe et al.
Estimation of Information Theoretic Measures for Continuous Random Variables
Fernando Pérez-Cruz
Evaluating probabilities under high-dimensional latent variable models
Iain Murray, Ruslan Salakhutdinov
Evidence Contrary to the Statistical View of Boosting
David Mease, Abraham Wyner
Exact Convex Confidence-Weighted Learning
Koby Crammer, Mark Dredze, Fernando Pereira
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Michael Collins, Amir Globerson, Terry Koo et al.
Extended Grassmann Kernels for Subspace-Based Learning
Jihun Hamm, Daniel D. Lee
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya et al.
Fast Computation of Posterior Mode in Multi-Level Hierarchical Models
Liang Zhang, Deepak Agarwal
Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method
Dongryeol Lee, Alexander G. Gray
Fast Prediction on a Tree
Mark Herbster, Massimiliano Pontil, Sergio R. Galeano
Fast Probabilistic Labeling of City Maps
Ingmar Posner, Mark Cummins, Paul Newman
Fast Rates for Regularized Objectives
Karthik Sridharan, Shai Shalev-shwartz, Nathan Srebro
Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets
Jean-philippe Pellet, André Elisseeff
Finding Optimal Bayesian Network Given a Super-Structure
Eric Perrier, Seiya Imoto, Satoru Miyano
Finite-Time Bounds for Fitted Value Iteration
Rémi Munos, Csaba Szepesvári
Fitted Q-iteration by Advantage Weighted Regression
Gerhard Neumann, Jan R. Peters