Papers
176,624 papers found
Sparse Semi-supervised Learning Using Conjugate Functions
Shiliang Sun, John Shawe-Taylor
Sparse Spectrum Gaussian Process Regression
Miguel Lázaro-Gredilla, Joaquin Quiñnero-Candela, Carl Edward Rasmussen 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
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
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.
State-Space Inference and Learning with Gaussian Processes
Ryan Turner, Marc Deisenroth, Carl Rasmussen
Static Analysis of Binary Executables Using Structural SVMs
Nikos Karampatziakis
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
Structural epitome: a way to summarize one’s visual experience
Nebojsa Jojic, Alessandro Perina, Vittorio Murino
Structured Determinantal Point Processes
Alex Kulesza, Ben Taskar
Structured Prediction Cascades
David Weiss, Benjamin Taskar
Structured Sparse Principal Component Analysis
Rodolphe Jenatton, Guillaume Obozinski, Francis Bach
Structured sparsity-inducing norms through submodular functions
Francis R. Bach
Study of group food retrieval by ants as a model for multi-robot collective transport strategies
S. Berman, Q. Lindsey, M. Sakar et al.
Subgraph Detection Using Eigenvector L1 Norms
Benjamin Miller, Nadya Bliss, Patrick J. Wolfe
Sufficient Conditions for Generating Group Level Sparsity in a Robust Minimax Framework
Hongbo Zhou, Qiang Cheng