4930 search results - page 100 / 986 » Learning minimal abstractions |
132
Voted
ICANN
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
COLT
2004
Springer
15 years 6 months ago
2004
Springer
Abstract. We consider the problem of estimating an unknown probability distribution from samples using the principle of maximum entropy (maxent). To alleviate overfitting with a v...
127
Voted
STACS
2010
Springer
15 years 5 months ago
2010
Springer
Abstract. In the constraint satisfaction problem (CSP), the aim is to find an assignment of values to a set of variables subject to specified constraints. In the minimum cost hom...
105
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DATE
2010
IEEE
15 years 5 months ago
2010
IEEE
Abstract— The optimal size of a large on-chip cache can be different for different programs: at some point, the reduction of cache misses achieved when increasing cache size hits...
101
Voted
WECWIS
2002
IEEE
15 years 5 months ago
2002
IEEE
In the web context, it is difficult to disentangle presentation from process logic, and sometimes even data is not separate from the presentation. Consequently, it becomes to de...