1888 search results - page 90 / 378 » The Learning Power of Evolution |
143
Voted
ICON
2007
IEEE
15 years 10 months ago
2007
IEEE
- In this paper we analyze the performance, utilization, and power estimation of server systems by both adopting the batch service and adjusting the batch size. In addition to redu...
149
Voted
DATE
2008
IEEE
15 years 10 months ago
2008
IEEE
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
229
Voted
TC
2002
15 years 3 months ago
2002
Dynamic Power Management (DPM) is a design methodology aiming at reducing power consumption of electronic systems by performing selective shutdown of idle system resources. The eff...
124
Voted
CORR
2010
Springer
15 years 1 months ago
2010
Springer
Many problems in machine learning and statistics can be formulated as (generalized) eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors a...
115
Voted
ECML
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...