Papers
184,605 papers found
Exploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions
Lisa Hellerstein, Bernard Rosell, Eric Bach et al.
Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis
Barry Chai, Dirk Walther, Diane Beck et al.
Exploring Strategies for Training Deep Neural Networks
Hugo Larochelle, Yoshua Bengio, Jérôme Louradour et al.
Exponential Family Graph Matching and Ranking
James Petterson, Jin Yu, Julian J. Mcauley et al.
Extending Phase Mechanism to Differential Motion Opponency for Motion Pop-out
Yicong Meng, Bertram E. Shi
FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs
Andrew McCallum, Karl Schultz, Sameer Singh
Factor Modeling for Advertisement Targeting
Ye Chen, Michael Kapralov, John Canny et al.
Fast Approximate kNN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection
Jie Chen, Haw-ren Fang, Yousef Saad
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming
Xiao-ming Wu, Anthony M. So, Zhenguo Li et al.
Fast Image Deconvolution using Hyper-Laplacian Priors
Dilip Krishnan, Rob Fergus
Fast Learning from Non-i.i.d. Observations
Ingo Steinwart, Andreas Christmann
Fast, smooth and adaptive regression in metric spaces
Samory Kpotufe
Fast subtree kernels on graphs
Nino Shervashidze, Karsten Borgwardt
Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination
Eugene Tuv, Alexander Borisov, George Runger et al.
Feedback control for steering needles through 3D deformable tissue using helical paths
K. Hauser, R. Alterovitz, N. Chentanez et al.
Filtering Abstract Senses From Image Search Results
Kate Saenko, Trevor Darrell
fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity
Bryan Conroy, Ben Singer, James Haxby et al.
Fourier Theoretic Probabilistic Inference over Permutations
Jonathan Huang, Carlos Guestrin, Leonidas Guibas
Free energy score space
Alessandro Perina, Marco Cristani, Umberto Castellani et al.
From PAC-Bayes Bounds to KL Regularization
Pascal Germain, Alexandre Lacasse, Mario Marchand et al.
Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning
Steven Chase, Andrew Schwartz, Wolfgang Maass et al.
Gaussian process regression with Student-t likelihood
Jarno Vanhatalo, Pasi Jylänki, Aki Vehtari
Generalization Bounds for Ranking Algorithms via Algorithmic Stability
Shivani Agarwal, Partha Niyogi
Generalized-ICP
A. Segal, D. Haehnel and S. Thrun