1617 search results - page 8 / 324 » Using Gaussian Processes to Optimize Expensive Functions |
NIPS
2004
13 years 8 months ago
2004
Gaussian processes are usually parameterised in terms of their covariance functions. However, this makes it difficult to deal with multiple outputs, because ensuring that the cova...
NIPS
2007
13 years 9 months ago
2007
We introduce a functional representation of time series which allows forecasts to be performed over an unspecified horizon with progressively-revealed information sets. By virtue...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
—Discriminative Training (DT) methods for acoustic modeling, such as MMI, MCE, and SVM, have been proved effective in speaker recognition. In this paper we propose a DT method fo...
NIPS
2008
13 years 9 months ago
2008
Sampling functions in Gaussian process (GP) models is challenging because of the highly correlated posterior distribution. We describe an efficient Markov chain Monte Carlo algori...
IJCV
2008
13 years 7 months ago
2008
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...