864 search results - page 41 / 173 » Selective Attention Improves Learning |
98
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
In many machine learning applications, like Brain - Computer Interfaces (BCI), only high-dimensional noisy data are available rendering the discrimination task non-trivial. In thi...
116
Voted
ICML
1997
IEEE
15 years 5 months ago
1997
IEEE
This paper is a comparative study of feature selection methods in statistical learning of text categorization. The focus is on aggressive dimensionality reduction. Five methods we...
103
Voted
ACL
2012
13 years 3 months ago
2012
We present a novel algorithm for multilingual dependency parsing that uses annotations from a diverse set of source languages to parse a new unannotated language. Our motivation i...
116
Voted
ICPR
2010
IEEE
15 years 27 days ago
2010
IEEE
Abstract—We point out a problem inherent in the optimization scheme of many popular feature selection methods. It follows from the implicit assumption that higher feature selecti...
ICML
1994
IEEE
15 years 4 months ago
1994
IEEE
Many real-world domains bless us with a wealth of attributes to use for learning. This blessing is often a curse: most inductive methods generalize worse given too many attributes...