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» Dynamic power management using machine learning
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ESANN
2003
15 years 4 months ago
Neural Networks and M5 model trees in modeling water level-discharge relationship for an Indian river
: In flood management it is important to reliably estimate the discharge in a river. Hydrologists use historic data to establish a rating curve – a relationship between the water...
Biswanath Bhattacharya, Dimitri P. Solomatine
KES
2004
Springer
15 years 8 months ago
ADS as Information Management Service in an M-Learning Environment
Leveraging the potential power of even small handheld devices able to communicate wirelessly requires dedicated support. In particular, collaborative applications need sophisticate...
Matthias R. Brust, Daniel Görgen, Christian H...
MICAI
2007
Springer
15 years 9 months ago
Weighted Instance-Based Learning Using Representative Intervals
Instance-based learning algorithms are widely used due to their capacity to approximate complex target functions; however, the performance of this kind of algorithms degrades signi...
Octavio Gómez, Eduardo F. Morales, Jes&uacu...
KDD
2009
ACM
132views Data Mining» more  KDD 2009»
16 years 3 months ago
Learning patterns in the dynamics of biological networks
Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
189
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VEE
2012
ACM
234views Virtualization» more  VEE 2012»
13 years 11 months ago
REEact: a customizable virtual execution manager for multicore platforms
With the shift to many-core chip multiprocessors (CMPs), a critical issue is how to effectively coordinate and manage the execution of applications and hardware resources to overc...
Wei Wang, Tanima Dey, Ryan W. Moore, Mahmut Aktaso...