Papers
176,624 papers found
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
Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data
Tran T. Truyen, Dinh Phung, Hung Bui et al.
High-dimensional support union recovery in multivariate regression
Guillaume R. Obozinski, Martin J. Wainwright, Michael I. Jordan
High Performance Outdoor Navigation from Overhead Data using Imitation Learning
David Silver, James Bagnell, Anthony Stentz
Hit Miss Networks with Applications to Instance Selection
Elena Marchiori
How memory biases affect information transmission: A rational analysis of serial reproduction
Jing Xu, Thomas L. Griffiths
HPB: A Model for Handling BN Nodes with High Cardinality Parents
Jorge Jambeiro Filho, Jacques Wainer
Human Active Learning
Rui M. Castro, Charles Kalish, Robert Nowak et al.