4981 search results - page 31 / 997 » Dependent Gaussian Processes |
73
Voted
NIPS
2003
14 years 11 months ago
2003
We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...
PKDD
2010
Springer
14 years 8 months ago
2010
Springer
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
NIPS
2008
14 years 11 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...
79
Voted
JMLR
2012
13 years 4 days ago
2012
In many settings, data is collected as multiple time series, where each recorded time series is an observation of some underlying dynamical process of interest. These observations...
107
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BIOINFORMATICS
2010
14 years 8 months ago
2010
Motivation: Peaks are the key information in Mass Spectrometry (MS) which has been increasingly used to discover diseases related proteomic patterns. Peak detection is an essentia...