Papers
Sparse Spectrum Gaussian Process Regression
Miguel Lázaro-Gredilla, Joaquin Quiñnero-Candela, Carl Edward Rasmussen et al.
Sparsity in Dependency Grammar Induction
Jennifer Gillenwater, Kuzman Ganchev, João Graça et al.
Spatial and anatomical regularization of SVM for brain image analysis
Remi Cuingnet, Marie Chupin, Habib Benali et al.
Spectral Regularization Algorithms for Learning Large Incomplete Matrices
Rahul Mazumder, Trevor Hastie, Robert Tibshirani
Spectral Regularization for Support Estimation
Ernesto D. Vito, Lorenzo Rosasco, Alessandro Toigo
Speech-Driven Access to the Deep Web on Mobile Devices
Taniya Mishra, Srinivas Bangalore
Sphere Embedding: An Application to Part-of-Speech Induction
Yariv Maron, Michael Lamar, Elie Bienenstock
SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system
Sylvain Chevallier, Hél\`ene Paugam-moisy, Michele Sebag
Spike timing-dependent plasticity as dynamic filter
Joscha Schmiedt, Christian Albers, Klaus Pawelzik
SRL-Based Verb Selection for ESL
Xiaohua Liu, Bo Han, Kuan Li et al.
Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models
Han Liu, Kathryn Roeder, Larry Wasserman
Stability Bounds for Stationary φ-mixing and β-mixing Processes
Mehryar Mohri, Afshin Rostamizadeh
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
Pascal Vincent, Hugo Larochelle, Isabelle Lajoie et al.
Standardizing Wordnets in the ISO Standard LMF: Wordnet-LMF for GermaNet
Verena Henrich, Erhard Hinrichs
Starting from Scratch in Semantic Role Labeling
Michael Connor, Yael Gertner, Cynthia Fisher et al.
State-Space Inference and Learning with Gaussian Processes
Ryan Turner, Marc Deisenroth, Carl Rasmussen
Static Analysis of Binary Executables Using Structural SVMs
Nikos Karampatziakis
Statistical Machine Translation of Texts with Misspelled Words
Nicola Bertoldi, Mauro Cettolo, Marcello Federico
Statistical Machine Translation with a Factorized Grammar
Libin Shen, Bing Zhang, Spyros Matsoukas et al.
Stochastic Complementarity for Local Control of Discontinuous Dynamics
Y. Tassa and E. Todorov
Stochastic Composite Likelihood
Joshua V. Dillon, Guy Lebanon
Stochastic Modeling of the Expected Time to Search for an Intermittent Signal Source Under a Limited Sensing Range
D. Song, C. Y. Kim and J. Yi
Storing the Web in Memory: Space Efficient Language Models with Constant Time Retrieval
David Guthrie, Mark Hepple