435 search results - page 71 / 87 » Methods to Learn Abstract Scheduling Models |
SDM
2004
SIAM
13 years 10 months ago
2004
SIAM
Most previously proposed mining methods on data streams make an unrealistic assumption that "labelled" data stream is readily available and can be mined at anytime. Howe...
IPSN
2003
Springer
14 years 1 months ago
2003
Springer
Abstract. The issue of data association arises frequently in sensor networks; whenever multiple sensors and sources are present, it may be necessary to determine which observations...
CP
2006
Springer
14 years 11 days ago
2006
Springer
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
ETFA
2006
IEEE
14 years 2 months ago
2006
IEEE
Abstract— This article presents some results about schedulability analysis of tasks with offsets also known as transactions, in the particular case of monotonic transactions. The...
IJCNN
2008
IEEE
14 years 3 months ago
2008
IEEE
Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...