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» Dynamic power management using machine learning
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158
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ECML
2007
Springer
15 years 5 months ago
Sequence Labeling with Reinforcement Learning and Ranking Algorithms
Many problems in areas such as Natural Language Processing, Information Retrieval, or Bioinformatic involve the generic task of sequence labeling. In many cases, the aim is to assi...
Francis Maes, Ludovic Denoyer, Patrick Gallinari
149
Voted
TPDS
2008
101views more  TPDS 2008»
15 years 3 months ago
An Energy-Oriented Evaluation of Buffer Cache Algorithms Using Parallel I/O Workloads
Power consumption is an important issue for cluster supercomputers as it directly affects running cost and cooling requirements. This paper investigates the memory energy efficienc...
Jianhui Yue, Yifeng Zhu, Zhao Cai
140
Voted
ECTEL
2007
Springer
15 years 9 months ago
Scruffy Technologies to Enable (Work-integrated) Learning
Abstract. The goal of the APOSDLE (Advanced Process-Oriented SelfDirected Learning environment) project is to support work-integrated learning of knowledge workers. We argue that w...
Stefanie N. Lindstaedt, Peter Scheir, Armin Ulbric...
144
Voted
ISCA
2002
IEEE
91views Hardware» more  ISCA 2002»
15 years 8 months ago
Slack: Maximizing Performance Under Technological Constraints
Many emerging processor microarchitectures seek to manage technological constraints (e.g., wire delay, power, and circuit complexity) by resorting to nonuniform designs that provi...
Brian A. Fields, Rastislav Bodík, Mark D. H...
109
Voted
ML
2008
ACM
104views Machine Learning» more  ML 2008»
15 years 3 months ago
Many holes in hindley-milner
We implement statically-typed multi-holed contexts in OCaml using an underlying algebraic datatype augmented with phantom types. Existing approaches require dynamic checks or more...
Sam Lindley