Papers
21,849 papers found
Sparse Kernel Orthonormalized PLS for feature extraction in large data sets
Jerónimo Arenas-garcía, Kaare B. Petersen, Lars K. Hansen
Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation
Gavin C. Cawley, Nicola L. Talbot, Mark Girolami
Sparse Representation for Signal Classification
Ke Huang, Selin Aviyente
Speakers optimize information density through syntactic reduction
T. F. Jaeger, Roger P. Levy
Stability of $K$-Means Clustering
Alexander Rakhlin, Andrea Caponnetto
Statistical Modeling of Images with Fields of Gaussian Scale Mixtures
Siwei Lyu, Eero P. Simoncelli
Stochastic Relational Models for Discriminative Link Prediction
Kai Yu, Wei Chu, Shipeng Yu et al.
Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds
Gloria Haro, Gregory Randall, Guillermo Sapiro
Subordinate class recognition using relational object models
Aharon B. Hillel, Daphna Weinshall
Support Vector Machines on a Budget
Ofer Dekel, Yoram Singer
Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks
Alexis Battle, Gal Chechik, Daphne Koller
Temporal Coding using the Response Properties of Spiking Neurons
Thomas Voegtlin
Temporal dynamics of information content carried by neurons in the primary visual cortex
Danko Nikolić, Stefan Haeusler, Wolf Singer et al.
The Neurodynamics of Belief Propagation on Binary Markov Random Fields
Thomas Ott, Ruedi Stoop
Theory and Dynamics of Perceptual Bistability
Paul R. Schrater, Rashmi Sundareswara
The Robustness-Performance Tradeoff in Markov Decision Processes
Huan Xu, Shie Mannor
Tighter PAC-Bayes Bounds
Amiran Ambroladze, Emilio Parrado-hernández, John S. Shawe-taylor
Towards a general independent subspace analysis
Fabian J. Theis
Training Conditional Random Fields for Maximum Labelwise Accuracy
Samuel S. Gross, Olga Russakovsky, Chuong B. Do et al.
Uncertainty, phase and oscillatory hippocampal recall
Máté Lengyel, Peter Dayan
Unified Inference for Variational Bayesian Linear Gaussian State-Space Models
David Barber, Silvia Chiappa
Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing
Yuanhao Chen, Long Zhu, Alan L. Yuille
Unsupervised Regression with Applications to Nonlinear System Identification
Ali Rahimi, Ben Recht
Using Combinatorial Optimization within Max-Product Belief Propagation
Daniel Tarlow, Gal Elidan, Daphne Koller et al.