282 search results - page 10 / 57 » Learning graphical models for hypothesis testing and classif... |
COLT
2008
Springer
13 years 10 months ago
2008
Springer
We study the potential benefits to classification prediction that arise from having access to unlabeled samples. We compare learning in the semi-supervised model to the standard, ...
EMNLP
2008
13 years 10 months ago
2008
We demonstrate the effectiveness of multilingual learning for unsupervised part-of-speech tagging. The key hypothesis of multilingual learning is that by combining cues from multi...
ICST
2010
IEEE
13 years 7 months ago
2010
IEEE
— Testing of graphical user interfaces is important due to its potential to reveal faults in operation and performance of the system under consideration. Most existing test appro...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
ICDAR
2009
IEEE
14 years 3 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 ...