69 search results - page 12 / 14 » Parallel Induction Algorithms for Large Samples |
HIPC
2007
Springer
14 years 1 months ago
2007
Springer
P2P deployments are a natural infrastructure for building distributed search networks. Proposed systems support locating and retrieving all results, but lack the information necess...
ASMTA
2008
Springer
13 years 9 months ago
2008
Springer
The solution of continuous and discrete-time Markovian models is still challenging mainly when we model large complex systems, for example, to obtain performance indexes of paralle...
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
DCOSS
2008
Springer
13 years 9 months ago
2008
Springer
Energy is one of the most crucial aspects in real deployments of mobile sensor networks. As a result of scarce resources, the duration of most real deployments can be limited to ju...
KAIS
2006
13 years 7 months ago
2006
Clustering has been one of the most widely studied topics in data mining and k-means clustering has been one of the popular clustering algorithms. K-means requires several passes ...