719 search results - page 48 / 144 » Discriminative learning for differing training and test dist... |
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NIPS
2000
14 years 11 months ago
2000
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
CORR
2011
Springer
14 years 1 months ago
2011
Springer
— This paper discusses some topics related to the latest trends in the field of evolutionary approaches to iris recognition. It presents the results of an exploratory experimenta...
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
The mismatch between training and test environmental conditions presents a challenge to speech recognition systems. In this paper, we investigate an approach for matching the dist...
IV
2000
IEEE
15 years 2 months ago
2000
IEEE
Nowadays multi-user VR systems are mostly aimed to social interaction, whereas exploitation of shared virtual environment for educational purposes has been mainly left aside. We i...
105
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ICDM
2003
IEEE
15 years 3 months ago
2003
IEEE
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...