Papers
Dynamic Infinite Relational Model for Time-varying Relational Data Analysis
Katsuhiko Ishiguro, Tomoharu Iwata, Naonori Ueda et al.
Effects of Synaptic Weight Diffusion on Learning in Decision Making Networks
Kentaro Katahira, Kazuo Okanoya, Masato Okada
Efficient Algorithms for Conditional Independence Inference
Remco Bouckaert, Raymond Hemmecke, Silvia Lindner et al.
Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions
Achintya Kundu, Vikram Tankasali, Chiranjib Bhattacharyya et al.
Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization
Feiping Nie, Heng Huang, Xiao Cai et al.
Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation
Han Xiao, Thomas Stibor
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers
Franz Pernkopf, Jeff A. Bilmes
Efficient Learning of Deep Boltzmann Machines
Ruslan Salakhutdinov, Hugo Larochelle
Efficient Minimization of Decomposable Submodular Functions
Peter Stobbe, Andreas Krause
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels
Mauricio Álvarez, David Luengo, Michalis Titsias et al.
Efficient Non-Parametric Surface Representations Using Active Sampling for Push Broom Laser Data
M. Smith, I. Posner and P. Newman
Efficient Optimization for Discriminative Latent Class Models
Armand Joulin, Jean Ponce, Francis R. Bach
Efficient probabilistic planar robot motion estimation given pairs of images
O. Booij, Z. Zivkovic and B. Kröse
Efficient Reductions for Imitation Learning
Stephane Ross, Drew Bagnell
Efficient Relational Learning with Hidden Variable Detection
Ni Lao, Jun Zhu, Liu Liu et al.
Ellipsoidal Support Vector Machines
Michinari Momma, Kohei Hatano, Hiroki Nakayama
Elliptical slice sampling
Iain Murray, Ryan Adams, David MacKay
Empirical Bernstein Boosting
Pannagadatta Shivaswamy, Tony Jebara
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.
Erratum: SGDQN is Less Careful than Expected
Antoine Bordes, Léon Bottou, Patrick Gallinari et al.
Error-Correcting Output Codes Library
Sergio Escalera, Oriol Pujol, Petia Radeva