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COLT
2008
Springer
15 years 2 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, ...
105
Voted
EMNLP
2008
15 years 1 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...
96
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ICST
2010
IEEE
14 years 11 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...
125
Voted
ICASSP
2010
IEEE
15 years 21 days 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...
99
Voted
ICDAR
2009
IEEE
15 years 7 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 ...