Papers
21,849 papers found
Sparse Coding for Learning Interpretable Spatio-Temporal Primitives
Taehwan Kim, Gregory Shakhnarovich, Raquel Urtasun
Sparse Instrumental Variables (SPIV) for Genome-Wide Studies
Paul Mckeigue, Jon Krohn, Amos J. Storkey et al.
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Katya Scheinberg, Shiqian Ma, Donald Goldfarb
Spatial and anatomical regularization of SVM for brain image analysis
Remi Cuingnet, Marie Chupin, Habib Benali et al.
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
Static Analysis of Binary Executables Using Structural SVMs
Nikos Karampatziakis
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 sparsity-inducing norms through submodular functions
Francis R. Bach
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
Supervised Clustering
Pranjal Awasthi, Reza B. Zadeh
Switched Latent Force Models for Movement Segmentation
Mauricio Alvarez, Jan R. Peters, Neil D. Lawrence et al.
Switching state space model for simultaneously estimating state transitions and nonstationary firing rates
Ken Takiyama, Masato Okada
Synergies in learning words and their referents
Mark Johnson, Katherine Demuth, Bevan Jones et al.
The LASSO risk: asymptotic results and real world examples
Mohsen Bayati, José Pereira, Andrea Montanari
The Maximal Causes of Natural Scenes are Edge Filters
Jose Puertas, Joerg Bornschein, Jörg Lücke
The Multidimensional Wisdom of Crowds
Peter Welinder, Steve Branson, Pietro Perona et al.
The Neural Costs of Optimal Control
Samuel Gershman, Robert Wilson
Throttling Poisson Processes
Uwe Dick, Peter Haider, Thomas Vanck et al.
Tight Sample Complexity of Large-Margin Learning
Sivan Sabato, Nathan Srebro, Naftali Tishby