Papers
184,605 papers found
Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models
Jing Gao, Feng Liang, Wei Fan et al.
Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation
Yusuke Watanabe, Kenji Fukumizu
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction
Grzegorz Swirszcz, Naoki Abe, Aurelie C. Lozano
Group Sparse Coding
Samy Bengio, Fernando Pereira, Yoram Singer et al.
Hash Kernels for Structured Data
Qinfeng Shi, James Petterson, Gideon Dror et al.
Heavy-Tailed Symmetric Stochastic Neighbor Embedding
Zhirong Yang, Irwin King, Zenglin Xu et al.
Help or Hinder: Bayesian Models of Social Goal Inference
Tomer Ullman, Chris Baker, Owen Macindoe et al.
Heterogeneous multitask learning with joint sparsity constraints
Xiaolin Yang, Seyoung Kim, Eric P. Xing
Hierarchical Learning of Dimensional Biases in Human Categorization
Adam Sanborn, Nick Chater, Katherine A. Heller
Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions
Bangpeng Yao, Dirk Walther, Diane Beck et al.
Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions
Matthias Bethge, Eero P. Simoncelli, Fabian H. Sinz
Highly scalable appearance-only SLAM - FAB-MAP 2.0
M. Cummins and P. Newman
Human motion database with a binary tree and node transition graphs
K. Yamane, Y. Yamaguchi and Y. Nakamura
Human Rademacher Complexity
Xiaojin Zhu, Bryan R. Gibson, Timothy T. Rogers
Hybrid MPI/OpenMP Parallel Linear Support Vector Machine Training
Kristian Woodsend, Jacek Gondzio
Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques
Barnabás Póczos, András Loőrincz
Improving Existing Fault Recovery Policies
Guy Shani, Christopher Meek
Improving the Reliability of Causal Discovery from Small Data Sets Using Argumentation
Facundo Bromberg, Dimitris Margaritis
Incorporating Functional Knowledge in Neural Networks
Charles Dugas, Yoshua Bengio, François Bélisle et al.
Indian Buffet Processes with Power-law Behavior
Yee W. Teh, Dilan Gorur
Individuation, Identification and Object Discovery
Charles Kemp, Alan Jern, Fei Xu
Information-theoretic lower bounds on the oracle complexity of convex optimization
Alekh Agarwal, Martin J. Wainwright, Peter L. Bartlett et al.
Inner sphere trees for proximity and penetration queries
R. Weller and G. Zachmann
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features
Miguel Lázaro-Gredilla, Aníbal Figueiras-Vidal
Java-ML: A Machine Learning Library
Thomas Abeel, Yves Van de Peer, Yvan Saeys