70 search results - page 13 / 14 » Large scale global optimization using self-adaptive differen... |
EVOW
2007
Springer
13 years 9 months ago
2007
Springer
RND (Radio Network Design) is a Telecommunication problem consisting in covering a certain geographical area by using the smallest number of radio antennas achieving the biggest co...
IWANN
2009
Springer
13 years 11 months ago
2009
Springer
Frequently, the number of input variables (features) involved in a problem becomes too large to be easily handled by conventional machine-learning models. This paper introduces a c...
ICDCN
2009
Springer
14 years 1 days ago
2009
Springer
The research community has witnessed a large interest in monitoring large scale distributed systems. In these applications typically we wish to monitor a global system condition wh...
ICMLA
2009
13 years 3 months ago
2009
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
ML
1998
ACM
13 years 4 months ago
1998
ACM
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...