Papers
176,624 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
Stability Properties of Empirical Risk Minimization over Donsker Classes
Andrea Caponnetto, Alexander Rakhlin
Statistical Modeling of Images with Fields of Gaussian Scale Mixtures
Siwei Lyu, Eero P. Simoncelli
Step Size Adaptation in Reproducing Kernel Hilbert Space
S. V. N. Vishwanathan, Nicol N. Schraudolph, Alex J. Smola
Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation
Kazuho Watanabe, Sumio Watanabe
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
Streamwise Feature Selection
Jing Zhou, Dean P. Foster, Robert A. Stine et al.
Structured Prediction, Dual Extragradient and Bregman Projections
Ben Taskar, Simon Lacoste-Julien, Michael I. Jordan
Subordinate class recognition using relational object models
Aharon B. Hillel, Daphna Weinshall
Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition
Ron Begleiter, Ran El-Yaniv
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 Identity Management Kalman Filter (IMKF)
B. Schumitsch, S. Thrun, L. Guibas et al.
The Interplay of Optimization and Machine Learning Research
Kristin P. Bennett, Emilio Parrado-Hernández
The Iterated Sigma Point Kalman Filter with Applications to Long Range Stereo
G. Sibley, G. Sukhatme, L. Matthies
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