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» Dynamic power management using machine learning
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KDD
2008
ACM
181views Data Mining» more  KDD 2008»
16 years 4 months ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
RTAS
2002
IEEE
15 years 8 months ago
Experiences in Implementing an Energy-Driven Task Scheduler in RT-Linux
Dynamic voltage scaling (DVS) is being increasingly used for power management in embedded systems. Energy is a scarce resource in embedded real-time systems and energy consumption...
Vishnu Swaminathan, Charles B. Schweizer, Krishnen...
EKAW
2008
Springer
15 years 5 months ago
Learning Disjointness for Debugging Mappings between Lightweight Ontologies
Abstract. Dealing with heterogeneous ontologies by means of semantic mappings has become an important area of research and a number of systems for discovering mappings between onto...
Christian Meilicke, Johanna Völker, Heiner St...
BIS
2006
132views Business» more  BIS 2006»
15 years 5 months ago
Utilizing Successful Work Practice for Business Process Evolution
Business process management (BPM) has emerged as a dominant technology in current enterprise systems and business solutions. However, business processes are always evolving in cur...
Ruopeng Lu, Shazia Wasim Sadiq, Guido Governatori
RAID
2009
Springer
15 years 10 months ago
VirusMeter: Preventing Your Cellphone from Spies
Due to the rapid advancement of mobile communication technology, mobile devices nowadays can support a variety of data services that are not traditionally available. With the growi...
Lei Liu, Guanhua Yan, Xinwen Zhang, Songqing Chen