Papers
21,849 papers found
Efficient Relational Learning with Hidden Variable Detection
Ni Lao, Jun Zhu, Liu Liu et al.
Empirical Bernstein Inequalities for U-Statistics
Thomas Peel, Sandrine Anthoine, Liva Ralaivola
Empirical Risk Minimization with Approximations of Probabilistic Grammars
Noah A. Smith, Shay B. Cohen
Energy Disaggregation via Discriminative Sparse Coding
J. Z. Kolter, Siddharth Batra, Andrew Y. Ng
Epitome driven 3-D Diffusion Tensor image segmentation: on extracting specific structures
Kamiya Motwani, Nagesh Adluru, Chris Hinrichs et al.
Error Propagation for Approximate Policy and Value Iteration
Amir-massoud Farahmand, Csaba Szepesvári, Rémi Munos
Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces
Abhinav Gupta, Martial Hebert, Takeo Kanade et al.
Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs
Dávid Pál, Barnabás Póczos, Csaba Szepesvári
Evaluating neuronal codes for inference using Fisher information
Haefner Ralf, Matthias Bethge
Evaluation of Rarity of Fingerprints in Forensics
Chang Su, Sargur Srihari
Evidence-Specific Structures for Rich Tractable CRFs
Anton Chechetka, Carlos Guestrin
Exact inference and learning for cumulative distribution functions on loopy graphs
Nebojsa Jojic, Chris Meek, Jim C. Huang
Exact learning curves for Gaussian process regression on large random graphs
Matthew Urry, Peter Sollich
Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach
Alessandro Bergamo, Lorenzo Torresani
Extended Bayesian Information Criteria for Gaussian Graphical Models
Rina Foygel, Mathias Drton
Extensions of Generalized Binary Search to Group Identification and Exponential Costs
Gowtham Bellala, Suresh Bhavnani, Clayton Scott
Factorized Latent Spaces with Structured Sparsity
Yangqing Jia, Mathieu Salzmann, Trevor Darrell
Fast detection of multiple change-points shared by many signals using group LARS
Jean-philippe Vert, Kevin Bleakley
Fast global convergence rates of gradient methods for high-dimensional statistical recovery
Alekh Agarwal, Sahand Negahban, Martin J. Wainwright
Fast Large-scale Mixture Modeling with Component-specific Data Partitions
Bo Thiesson, Chong Wang
Feature Construction for Inverse Reinforcement Learning
Sergey Levine, Zoran Popovic, Vladlen Koltun
Feature Set Embedding for Incomplete Data
David Grangier, Iain Melvin
Fractionally Predictive Spiking Neurons
Jaldert Rombouts, Sander M. Bohte
Functional form of motion priors in human motion perception
Hongjing Lu, Tungyou Lin, Alan Lee et al.