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NIPS
2001
15 years 8 months ago
Covariance Kernels from Bayesian Generative Models
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
Matthias Seeger
NIPS
2003
15 years 8 months ago
Laplace Propagation
We present a novel method for approximate inference in Bayesian models and regularized risk functionals. It is based on the propagation of mean and variance derived from the Lapla...
Alexander J. Smola, Vishy Vishwanathan, Eleazar Es...
NIPS
2000
15 years 8 months ago
Occam's Razor
The Bayesian paradigm apparently only sometimes gives rise to Occam's Razor; at other times very large models perform well. We give simple examples of both kinds of behaviour...
Carl Edward Rasmussen, Zoubin Ghahramani
TSP
2010
15 years 1 months ago
Compress-and-forward cooperative MIMO relaying with full channel state information
This paper addresses cooperative Time Division Duplex (TDD) relaying in the multiple-antenna case with full Channel State Information (CSI), i.e. assuming perfect knowledge of all ...
Sébastien Simoens, Olga Muñoz-Medina...
TIT
1998
216views more  TIT 1998»
15 years 6 months ago
Data Compression and Harmonic Analysis
In this article we review some recent interactions between harmonic analysis and data compression. The story goes back of course to Shannon’s R(D) theory in the case of Gaussian...
David L. Donoho, Martin Vetterli, Ronald A. DeVore...