28 search results - page 2 / 6 » Using the BSP Cost Model to Optimise Parallel Neural Network... |
CF
2007
ACM
13 years 9 months ago
2007
ACM
Performance tuning is an important and time consuming task which may have to be repeated for each new application and platform. Although iterative optimisation can automate this p...
DPD
2002
13 years 5 months ago
2002
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...
ICSNC
2007
IEEE
13 years 12 months ago
2007
IEEE
Nowadays, path prediction is being extensively examined for use in the context of mobile and wireless computing towards more efficient network resource management schemes. Path pr...
ICANN
2005
Springer
13 years 11 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...
IWCMC
2010
ACM
13 years 7 months ago
2010
ACM
Despite a large body of literature and methods devoted to the Traffic Matrix (TM) estimation problem, the inference of traffic flows volume from aggregated data still represents a ...