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104
Voted
ECSQARU
2005
Springer
15 years 6 months ago
2005
Springer
In a Bayesian network with continuous variables containing a variable(s) that is a conditionally deterministic function of its continuous parents, the joint density function for t...
129
Voted
JMLR
2010
14 years 7 months ago
2010
We present an approximate inference approach to parameter estimation in a spatio-temporal stochastic process of the reaction-diffusion type. The continuous space limit of an infer...
113
Voted
KES
2000
Springer
15 years 4 months ago
2000
Springer
The problem of establishing the identity of a speaker from a given utterance has been conventionally addressed using techniques such as Gaussian Mixture Models (GMM's) that m...
103
click to vote
JSAC
2007
15 years 18 days ago
2007
— In this paper, the detection of a correlated Gaussian field using a large multi-hop sensor network is investigated. A cooperative routing strategy is proposed by introducing a...
111
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NIPS
1994
15 years 2 months ago
1994
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...