916 search results - page 7 / 184 » Algorithm selection: a quantitative computation-intensive op... |
CORR
2007
Springer
13 years 7 months ago
2007
Springer
In Grids scheduling decisions are often made on the basis of jobs being either data or computation intensive: in data intensive situations jobs may be pushed to the data and in co...
PR
2008
13 years 7 months ago
2008
Prototype selection problem consists of reducing the size of databases by removing samples that are considered noisy or not influential on nearest neighbour classification tasks. ...
EUSFLAT
2007
13 years 8 months ago
2007
In many regression learning algorithms for fuzzy rule bases it is not possible to define the error measure to be optimized freely. A possible alternative is the usage of global o...
CDC
2008
IEEE
14 years 1 months ago
2008
IEEE
Abstract— This paper proposes a novel two-stage optimization method for robust Model Predictive Control (RMPC) with Gaussian disturbance and state estimation error. Since the dis...
IM
2003
13 years 8 months ago
2003
: Quantitative models are needed for a variety of management tasks, including (a) identification of critical variables to use for health monitoring, (b) anticipating service level...