Papers
172,654 papers found
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
fMRI-Compatible Robotic Interfaces with Fluidic Actuation
Ningbo Yu, Christoph Hollnagel, Armin Blickenstorfer et al.
Forecasting Web Page Views: Methods and Observations
Jia Li, Andrew W. Moore
Friction-Induced Velocity Fields for Point Parts Sliding on a Rigid Oscillated Plate
Thomas Vose, Paul Umbanhowar, Kevin Lynch
Gas Distribution Modeling using Sparse Gaussian Process Mixture Models
Cyrill Stachniss, Christian Plagemann, Achim Lilienthal et al.
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.
Generalization from Observed to Unobserved Features by Clustering
Eyal Krupka, Naftali Tishby
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
Gradient Tree Boosting for Training Conditional Random Fields
Thomas G. Dietterich, Guohua Hao, Adam Ashenfelter
Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models
Mathias Drton, Thomas S. Richardson
Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Subcellular Location Patterns
Shann-Ching Chen, Geoffrey J. Gordon, Robert F. Murphy
Grouping Contours Via a Related Image
Praveen Srinivasan, Liming Wang, Jianbo Shi
Hebbian Learning of Bayes Optimal Decisions
Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass
Hierarchical Fisher Kernels for Longitudinal Data
Zhengdong Lu, Jeffrey Kaye, Todd K. Leen