62 search results - page 7 / 13 » Maximizing the Benefits of Parallel Search Using Machine Lea... |
FTDCS
2004
IEEE
13 years 11 months ago
2004
IEEE
Today most Internet services are pre-assigned to servers statically, hence preventing us from doing real-time sharing of a pool of servers across as group of services with dynamic...
PR
2007
13 years 6 months ago
2007
Ensemble learning is attracting much attention from pattern recognition and machine learning domains for good generalization. Both theoretical and experimental researches show tha...
KDD
2003
ACM
14 years 7 months ago
2003
ACM
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
EGC
2005
Springer
14 years 27 days ago
2005
Springer
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
We propose a novel approach to designing algorithms for
object tracking based on fusing multiple observation models.
As the space of possible observation models is too large
for...