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ICML
2006
IEEE
16 years 7 months ago
A statistical approach to rule learning
We present a new, statistical approach to rule learning. Doing so, we address two of the problems inherent in traditional rule learning: The computational hardness of finding rule...
Stefan Kramer, Ulrich Rückert
193
Voted
IPPS
2009
IEEE
16 years 1 months ago
Power-aware dynamic task scheduling for heterogeneous accelerated clusters
Recent accelerators such as GPUs achieve better cost-performance and watt-performance ratio, while the range of their application is more limited than general CPUs. Thus heterogen...
Tomoaki Hamano, Toshio Endo, Satoshi Matsuoka
157
Voted
GECCO
2007
Springer
119views Optimization» more  GECCO 2007»
16 years 1 months ago
Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Ad...
Emma Byrne
155
Voted
IPPS
2006
IEEE
16 years 27 days ago
A performance model for fine-grain accesses in UPC
UPC’s implicit communication and fine-grain programming style make application performance modeling a challenging task. The correspondence between remote references and communi...
Zhang Zhang, S. R. Seidel
193
Voted
QSHINE
2005
IEEE
16 years 13 days ago
Utility-based Adaptive Resource Allocation in Hybrid Wireless Networks
Service availability in wireless networks is highly dependent on efficient resource allocation and guaranteed Quality of Service (QoS) amid overloads and failures. This paper add...
Calin Curescu, Simin Nadjm-Tehrani, Bing Cao, Tere...