1797 search results - page 46 / 360 » Regularized Winnow Methods |
GECCO
2007
Springer
13 years 9 months ago
2007
Springer
Frequently in the physical sciences experimental data are analyzed to determine model parameters using techniques known as parameter estimation. Eliminating the effects of noise ...
ACL
2009
13 years 5 months ago
2009
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
CIKM
2011
Springer
12 years 7 months ago
2011
Springer
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
SAS
2001
Springer
14 years 4 days ago
2001
Springer
This paper describes the precise speci cation, design, analysis, implementation, and measurements of an e cient algorithm for solving regular tree grammar based constraints. The p...