598 search results - page 19 / 120 » Learning Generative Models with the Up-Propagation Algorithm |
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
We show that a classifier based on Gaussian mixture models (GMM) can be trained discriminatively to improve accuracy. We describe a training procedure based on the extended Baum-W...
SAC
2009
ACM
14 years 2 months ago
2009
ACM
In the past years, the theory and practice of machine learning and data mining have been focused on static and finite data sets from where learning algorithms generate a static m...
EMNLP
2011
12 years 7 months ago
2011
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
ACL
2007
13 years 9 months ago
2007
Over the last few years, two of the main research directions in machine learning of natural language processing have been the study of semi-supervised learning algorithms as a way...
ICML
1999
IEEE
14 years 8 months ago
1999
IEEE
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...