75 search results - page 10 / 15 » Learning mixture models using a genetic version of the EM al... |
UAI
1997
13 years 10 months ago
1997
This paper re-examines the problem of parameter estimation in Bayesian networks with missing values and hidden variables from the perspective of recent work in on-line learning [1...
ICPR
2002
IEEE
14 years 9 months ago
2002
IEEE
This paper proposes the fractional component analysis (FCA), whose goal is to decompose the observed signal into component signals and recover their fractions. The uniqueness of o...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
We present a new unsupervised algorithm for training structured predictors that is discriminative, convex, and avoids the use of EM. The idea is to formulate an unsupervised versi...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
This paper presents a kernel density estimation method by means of real-coded crossovers. Estimation of density algorithms (EDAs) are evolutionary optimization techniques, which d...
ICPR
2004
IEEE
14 years 9 months ago
2004
IEEE
We present an example of a joint spatial and temporal task learning algorithm that results in a generative model that has applications for on-line visual control. We review work o...