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155
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JAIR
2002
163views more  JAIR 2002»
15 years 3 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
141
Voted
NN
1998
Springer
177views Neural Networks» more  NN 1998»
15 years 3 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin
126
Voted
ICRA
2010
IEEE
143views Robotics» more  ICRA 2010»
15 years 1 months ago
On the influence of ship motion prediction accuracy on motion planning and control of robotic manipulators on seaborne platforms
Robotic manipulators on non-inertial platforms, such as ships, have to endure large inertial forces due to the non-inertial motion of the platform. When the non-inertial platform&#...
Pål Johan From, Jan Tommy Gravdahl, Pieter A...
135
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STOC
2005
ACM
129views Algorithms» more  STOC 2005»
16 years 3 months ago
Learning with attribute costs
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
Haim Kaplan, Eyal Kushilevitz, Yishay Mansour
145
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CONCURRENCY
2010
130views more  CONCURRENCY 2010»
15 years 3 months ago
Enabling high-speed asynchronous data extraction and transfer using DART
As the complexity and scale of current scientific and engineering applications grow, managing and transporting the large amounts of data they generate is quickly becoming a signif...
Ciprian Docan, Manish Parashar, Scott Klasky