186 search results - page 24 / 38 » Learning hierarchical multi-category text classification mod... |
ICPR
2002
IEEE
14 years 9 months ago
2002
IEEE
This paper deals with the problem of structuralizing education and training videos for high-level semantics extraction and nonlinear media presentation in e-learning applications....
NIPS
2008
13 years 9 months ago
2008
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
BMCBI
2007
13 years 8 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
CIKM
2006
Springer
13 years 11 months ago
2006
Springer
In this paper, we study the problem of learning block classification models to estimate block functions. We distinguish general models, which are learned across multiple sites, an...
ICDAR
2009
IEEE
14 years 2 months ago
2009
IEEE
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...