234 search results - page 35 / 47 » Lightweight Task Graph Inference for Distributed Application... |
JAIR
2006
14 years 11 months ago
2006
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
109
click to vote
ECOOPW
1997
Springer
15 years 3 months ago
1997
Springer
The traditional workflow process model is typically illustrated with a graph of activities, tasks, deliverables and techniques. From an object-oriented perspective, every identifi...
93
Voted
EUROPAR
2005
Springer
15 years 5 months ago
2005
Springer
Nested-parallelism programming models, where the task graph associated to a computation is series-parallel, present good analysis properties that can be exploited for scheduling, c...
RTCSA
2006
IEEE
15 years 5 months ago
2006
IEEE
Real-time embedded systems are increasingly being networked. In distributed real-time embedded applications, e.g., electric grid management and command and control applications, i...