965 search results - page 99 / 193 » Scaling into Ambient Intelligence |
177
click to vote
ICTAI
2006
IEEE
16 years 13 days ago
2006
IEEE
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
160
click to vote
AUSAI
2005
Springer
15 years 12 months ago
2005
Springer
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
146
click to vote
ICAISC
2004
Springer
15 years 11 months ago
2004
Springer
Abstract. The support vector machine (SVM) constitutes one of the most successful current learning algorithms with excellent classification accuracy in large real-life problems an...
186
click to vote
CEC
2003
IEEE
15 years 11 months ago
2003
IEEE
AbstractRecent advances in gene-expression profiling technologies provide large amounts of gene expression data. This raises the possibility for a functional understanding of geno...
143
click to vote
CEC
2007
IEEE
15 years 10 months ago
2007
IEEE
Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. The ...