1746 search results - page 143 / 350 » Hierarchical Unsupervised Learning |
NIPS
2007
13 years 10 months ago
2007
Hierarchical penalization is a generic framework for incorporating prior information in the fitting of statistical models, when the explicative variables are organized in a hiera...
NIPS
2001
13 years 10 months ago
2001
This paper presents a novel approach to the unsupervised learning of syntactic analyses of natural language text. Most previous work has focused on maximizing likelihood according...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
The dynamic hierarchical Dirichlet process (dHDP) is developed to model the timeevolving statistical properties of sequential data sets. The data collected at any time point are r...
COLT
2004
Springer
14 years 20 days ago
2004
Springer
We study the problem of classifying data in a given taxonomy when classifications associated with multiple and/or partial paths are allowed. We introduce an incremental algorithm u...
COLING
2010
13 years 3 months ago
2010
This paper studies two methods for training hierarchical MT rules independently of word alignments. Bilingual chart parsing and EM algorithm are used to train bitext correspondenc...