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» Algorithm Selection using Reinforcement Learning
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117
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BMCBI
2008
123views more  BMCBI 2008»
15 years 2 months ago
Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach
Background: Eukaryotic promoter prediction using computational analysis techniques is one of the most difficult jobs in computational genomics that is essential for constructing a...
Firoz Anwar, Syed Murtuza Baker, Taskeed Jabid, Md...
100
Voted
ICCAD
1999
IEEE
95views Hardware» more  ICCAD 1999»
15 years 7 months ago
Dynamic power management using adaptive learning tree
Dynamic Power Management (DPM) is a technique to reduce power consumption of electronic systems by selectively shutting down idle components. The quality of the shutdown control a...
Eui-Young Chung, Luca Benini, Giovanni De Micheli
142
Voted
IJRR
2008
139views more  IJRR 2008»
15 years 2 months ago
Learning to Control in Operational Space
One of the most general frameworks for phrasing control problems for complex, redundant robots is operational space control. However, while this framework is of essential importan...
Jan Peters, Stefan Schaal
DAWAK
2010
Springer
15 years 2 months ago
Modelling Complex Data by Learning Which Variable to Construct
Abstract. This paper addresses a task of variable selection which consists in choosing a subset of variables that is sufficient to predict the target label well. Here instead of tr...
Françoise Fessant, Aurélie Le Cam, M...
126
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MSWIM
2009
ACM
15 years 9 months ago
Socially conscious channel selection in 802.11 WLANs for coexistence in a non-cooperative environment
The increasing number of independent IEEE 802.11 WLANs owned and managed by autonomous users has led to increased interference, resulting in performance degradation and unfairness...
Joo Ghee Lim, Chun Tung Chou, Sanjay Jha