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» The Sinkhorn-Knopp Algorithm: Convergence and Applications
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NECO
2007
150views more  NECO 2007»
13 years 5 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
RAS
2007
148views more  RAS 2007»
13 years 5 months ago
Including probabilistic target detection attributes into map representations
Range measuring sensors can play an extremely important role in robot navigation. All range measuring devices rely on a ‘detection criterion’ made in the presence of noise, to...
John Mullane, Ebi Jose, Martin David Adams, Wijeru...
ASPDAC
2007
ACM
108views Hardware» more  ASPDAC 2007»
13 years 10 months ago
Noise-Direct: A Technique for Power Supply Noise Aware Floorplanning Using Microarchitecture Profiling
This paper proposes Noise-Direct, a design methodology for power integrity aware floorplanning, using microarchitectural feedback to guide module placement. Stringent power constr...
Fayez Mohamood, Michael B. Healy, Sung Kyu Lim, Hs...
DATAMINE
2006
130views more  DATAMINE 2006»
13 years 6 months ago
Mining Adaptive Ratio Rules from Distributed Data Sources
Different from traditional association-rule mining, a new paradigm called Ratio Rule (RR) was proposed recently. Ratio rules are aimed at capturing the quantitative association kno...
Jun Yan, Ning Liu, Qiang Yang, Benyu Zhang, QianSh...
EOR
2007
165views more  EOR 2007»
13 years 6 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang