9494 search results - page 29 / 1899 » Gaussian Process Networks |
100
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
122
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
We consider the problem of multi-task learning, that is, learning multiple related functions. Our approach is based on a hierarchical Bayesian framework, that exploits the equival...
57
Voted
NIPS
2007
15 years 2 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...
135
Voted
ESANN
2006
15 years 2 months ago
2006
Abstract. We investigate a nonparametric model with which to visualize the relationship between two datasets. We base our model on Gaussian Process Latent Variable Models (GPLVM)[1...
97
Voted
NIPS
2004
15 years 2 months ago
2004
We present a probabilistic approach to learning a Gaussian Process classifier in the presence of unlabeled data. Our approach involves a "null category noise model" (NCN...