50 search results - page 7 / 10 » TRUST-TECH-Based Expectation Maximization for Learning Finit... |
CDC
2009
IEEE
13 years 8 months ago
2009
IEEE
We consider the multi-class classification problem, based on vector observation sequences, where the conditional (given class observations) probability distributions for each class...
UAI
2003
13 years 8 months ago
2003
In this paper we present a family of models and learning algorithms that can simultaneously align and cluster sets of multidimensional curves measured on a discrete time grid. Our...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
AIRS
2006
Springer
13 years 11 months ago
2006
Springer
Many text documents naturally have two kinds of labels. For example, we may label web pages from universities according to their categories, such as "student" or "fa...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
A logistic regression classification algorithm is developed for problems in which the feature vectors may be missing data (features). Single or multiple imputation for the missing...