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ISCI
2008
159views more  ISCI 2008»
13 years 9 months ago
Large scale evolutionary optimization using cooperative coevolution
Evolutionary algorithms (EAs) have been applied with success to many numerical and combinatorial optimization problems in recent years. However, they often lose their effectivenes...
Zhenyu Yang, Ke Tang, Xin Yao
ICALP
2009
Springer
14 years 9 months ago
Maximum Bipartite Flow in Networks with Adaptive Channel Width
Traditionally, combinatorial optimization problems (such as maximum flow, maximum matching, etc.) have been studied for networks where each link has a fixed capacity. Recent resear...
Yossi Azar, Aleksander Madry, Thomas Moscibroda, D...
JAIR
2002
163views more  JAIR 2002»
13 years 8 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
AAMAS
2011
Springer
13 years 4 months ago
Using focal point learning to improve human-machine tacit coordination
We consider an automated agent that needs to coordinate with a human partner when communication between them is not possible or is undesirable (tacit coordination games). Specifi...
Inon Zuckerman, Sarit Kraus, Jeffrey S. Rosenschei...
BMCBI
2011
13 years 3 months ago
ATAQS: A computational software tool for high throughput transition optimization and validation for selected reaction monitoring
Background: Since its inception, proteomics has essentially operated in a discovery mode with the goal of identifying and quantifying the maximal number of proteins in a sample. I...
Mi-Youn K. Brusniak, Sung-Tat Kwok, Mark Christian...