1299 search results - page 35 / 260 » Quantizing Density Estimators |
CSL
1998
Springer
13 years 7 months ago
1998
Springer
In this paper, we propose parameter estimation techniques for mixture density polynomial segment models (MDPSMs) where their trajectories are specified with an arbitrary regressi...
ECSQARU
2009
Springer
14 years 2 months ago
2009
Springer
To explore the Perturb and Combine idea for estimating probability densities, we study mixtures of tree structured Markov networks derived by bagging combined with the Chow and Liu...
COLT
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. We consider the problem of estimating an unknown probability distribution from samples using the principle of maximum entropy (maxent). To alleviate overfitting with a v...
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
PKDD
2005
Springer
14 years 1 months ago
2005
Springer
This paper presents an unsupervised discretization method that performs density estimation for univariate data. The subintervals that the discretization produces can be used as the...