Papers
21,849 papers found
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 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
Exact Convex Confidence-Weighted Learning
Koby Crammer, Mark Dredze, Fernando Pereira
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 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
Fitted Q-iteration by Advantage Weighted Regression
Gerhard Neumann, Jan R. Peters
Gates
Tom Minka, John Winn
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity
Byron M. Yu, John P. Cunningham, Gopal Santhanam et al.
Generative and Discriminative Learning with Unknown Labeling Bias
Steven J. Phillips, Miroslav Dudík
Generative versus discriminative training of RBMs for classification of fMRI images
Tanya Schmah, Geoffrey E. Hinton, Steven L. Small et al.
Global Ranking Using Continuous Conditional Random Fields
Tao Qin, Tie-yan Liu, Xu-dong Zhang et al.
Goal-directed decision making in prefrontal cortex: a computational framework
Matthew Botvinick, James An