33 search results - page 2 / 7 » Using machine learning for non-intrusive modeling and predic... |
UM
2009
Springer
13 years 12 months ago
2009
Springer
Abstract. Recent sensor technologies have enabled the capture of users’ behavior data. Given the large amount of data currently available from sensor-equipped environments, it is...
CISSE
2008
Springer
13 years 7 months ago
2008
Springer
We live in the information age, where the amount of data readily available already overwhelms our capacity to analyze and absorb it without help from our machines. In particular, ...
ISPASS
2009
IEEE
2009
IEEE
Machine learning based online performance prediction for runtime parallelization and task scheduling
14 years 7 days ago
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
BMCBI
2006
13 years 5 months ago
2006
Background: Diverse modeling approaches viz. neural networks and multiple regression have been followed to date for disease prediction in plant populations. However, due to their ...
PROMISE
2010
13 years 5 days ago
2010
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...