1617 search results - page 14 / 324 » Using Gaussian Processes to Optimize Expensive Functions |
PAMI
2006
13 years 7 months ago
2006
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Blind source separation (BSS) is a process to reconstruct source signals from the mixed signals. The standard BSS methods assume a fixed set of stationary source signals with the ...
ARC
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Monte Carlo simulation is one of the most widely used techniques for computationally intensive simulations in mathematical analysis and modeling. A multivariate Gaussian ...
NIPS
2004
13 years 8 months ago
2004
We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...