38 search results - page 1 / 8 » Boosting and Maximum Likelihood for Exponential Models |
NIPS
2001
13 years 6 months ago
2001
We derive an equivalence between AdaBoost and the dual of a convex optimization problem, showing that the only difference between minimizing the exponential loss used by AdaBoost ...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
ICC
2007
IEEE
13 years 11 months ago
2007
IEEE
— Blind and semiblind adaptive schemes are proposed for joint maximum likelihood (ML) channel estimation and data detection for multiple-input multiple-output (MIMO) systems. The...
ECSQARU
2009
Springer
13 years 11 months ago
2009
Springer
We describe a procedure for inducing conditional densities within the mixtures of truncated exponentials (MTE) framework. We analyse possible conditional MTE specifications and pr...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
Exponential Family PSR (EFPSR) models capture stochastic dynamical systems by representing state as the parameters of an exponential family distribution over a shortterm window of...