333 search results - page 38 / 67 » Optimal sampling from distributed streams |
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
JMLR
2012
11 years 11 months ago
2012
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
IEEEPACT
2000
IEEE
14 years 1 months ago
2000
IEEE
Dynamic Optimization is an umbrella term that refers to any optimization of software that is performed after the initial compile time. It is a complementary optimization opportuni...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
ICDCS
2009
IEEE
14 years 5 months ago
2009
IEEE
To observe, analyze and control large scale distributed systems and the applications hosted on them, there is an increasing need to continuously monitor performance attributes of ...