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178
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
187
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ACL
1996
15 years 8 months ago
1996
This paper discusses the problem of learning language from unprocessed text and speech signals, concentrating on the problem of learning a lexicon. In particular, it argues for a ...
164
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ALT
2007
Springer
16 years 3 months ago
2007
Springer
As some cognitive research suggests, in the process of learning languages, in addition to overt explicit negative evidence, a child often receives covert explicit evidence in form...
197
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PKDD
2009
Springer
16 years 1 months ago
2009
Springer
This paper aims at presenting how natural language processing and machine learning techniques can help the internet surfer to get a better overview of the pages he is reading. The ...
175
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ICAIL
2005
ACM
16 years 8 days ago
2005
ACM
We describe a set of experiments using machine learning techniques for the task of extractive summarisation. The research is part of a summarisation project for which we use a cor...