220 search results - page 11 / 44 » Training linear SVMs in linear time |
HPCC
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Automatic execution time prediction of the Grid applications plays a critical role in making the pervasive Grid more reliable and predictable. However, automatic executio...
TNN
1998
13 years 7 months ago
1998
— In this work, a probabilistic model is established for recurrent networks. The EM (expectation-maximization) algorithm is then applied to derive a new fast training algorithm f...
ASC
2000
13 years 8 months ago
2000
A neural model-based predictive control scheme is proposed for dealing with steady-state offsets found in standard MPC schemes. This structure is based on a constrained local inst...
ML
2000
ACM
13 years 7 months ago
2000
ACM
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the ca...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
2D projection imaging is a widely used procedure for vessel visualization. For the subsequent analysis of the vasculature, precise measurements of e.g. vessel area, vessel length ...