45 search results - page 3 / 9 » Generative Supervised Classification Using Dirichlet Process... |
NIPS
2003
13 years 6 months ago
2003
We address the problem of learning topic hierarchies from data. The model selection problem in this domain is daunting—which of the large collection of possible trees to use? We...
GCB
2007
Springer
13 years 9 months ago
2007
Springer
: Markov models have been proposed for the classification of DNA-motifs using generative approaches for parameter learning. Here, we propose to apply the discriminative paradigm fo...
NIPS
2008
13 years 6 months ago
2008
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
NIPS
2004
13 years 6 months ago
2004
In this paper we propose a probabilistic model for online document clustering. We use non-parametric Dirichlet process prior to model the growing number of clusters, and use a pri...
ICMLA
2009
13 years 3 months ago
2009
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...