Papers
21,849 papers found
Regularized Policy Iteration
Amir M. Farahmand, Mohammad Ghavamzadeh, Shie Mannor et al.
Relative Margin Machines
Tony Jebara, Pannagadatta K. Shivaswamy
Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation
Indraneel Mukherjee, David M. Blei
Resolution Limits of Sparse Coding in High Dimensions
Sundeep Rangan, Vivek Goyal, Alyson K. Fletcher
Robust Kernel Principal Component Analysis
Minh H. Nguyen, Fernando Torre
Robust Near-Isometric Matching via Structured Learning of Graphical Models
Alex J. Smola, Julian J. Mcauley, Tibério S. Caetano
Robust Regression and Lasso
Huan Xu, Constantine Caramanis, Shie Mannor
Scalable Algorithms for String Kernels with Inexact Matching
Pavel P. Kuksa, Pai-hsi Huang, Vladimir Pavlovic
Self-organization using synaptic plasticity
Vicençc Gómez, Andreas Kaltenbrunner, Vicente López et al.
Semi-supervised Learning with Weakly-Related Unlabeled Data : Towards Better Text Categorization
Liu Yang, Rong Jin, Rahul Sukthankar
Sequential effects: Superstition or rational behavior?
Angela J. Yu, Jonathan D. Cohen
Shape-Based Object Localization for Descriptive Classification
Geremy Heitz, Gal Elidan, Benjamin Packer et al.
Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes
Erik B. Sudderth, Michael I. Jordan
Short-Term Depression in VLSI Stochastic Synapse
Peng Xu, Timothy K. Horiuchi, Pamela A. Abshire
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms
John W. Roberts, Russ Tedrake
Simple Local Models for Complex Dynamical Systems
Erik Talvitie, Satinder P. Singh
Skill Characterization Based on Betweenness
Ozgur Simsek, Andrew G. Barto
Sparse Convolved Gaussian Processes for Multi-output Regression
Mauricio Alvarez, Neil D. Lawrence
Sparse Online Learning via Truncated Gradient
John Langford, Lihong Li, Tong Zhang
Sparse probabilistic projections
Cédric Archambeau, Francis R. Bach
Sparse Signal Recovery Using Markov Random Fields
Volkan Cevher, Marco F. Duarte, Chinmay Hegde et al.
Sparsity of SVMs that use the epsilon-insensitive loss
Ingo Steinwart, Andreas Christmann
Spectral Clustering with Perturbed Data
Ling Huang, Donghui Yan, Nina Taft et al.
Spectral Hashing
Yair Weiss, Antonio Torralba, Rob Fergus