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ML
2007
ACM
104views Machine Learning» more  ML 2007»
15 years 6 months ago
A general criterion and an algorithmic framework for learning in multi-agent systems
We offer a new formal criterion for agent-centric learning in multi-agent systems, that is, learning that maximizes one’s rewards in the presence of other agents who might also...
Rob Powers, Yoav Shoham, Thuc Vu
NAR
2007
65views more  NAR 2007»
15 years 6 months ago
STRING 7 - recent developments in the integration and prediction of protein interactions
Information on protein–protein interactions is still mostly limited to a small number of model organisms, and originates from a wide variety of experimental and computational te...
Christian von Mering, Lars Juhl Jensen, Michael Ku...
NN
2007
Springer
106views Neural Networks» more  NN 2007»
15 years 6 months ago
Machine learning approach to color constancy
A number of machine learning (ML) techniques have recently been proposed to solve color constancy problem in computer vision. Neural networks (NNs) and support vector regression (...
Vivek Agarwal, Andrei V. Gribok, Mongi A. Abidi
NN
2007
Springer
103views Neural Networks» more  NN 2007»
15 years 6 months ago
Emergence of sequence sensitivity in a hippocampal CA3-CA1 model
Recent studies have shown that place cells in the hippocampal CA1 region fire in a sequence sensitive manner. In this study we tested if hippocampal CA3 and CA1 regions can give ...
Motoharu Yoshida, Hatsuo Hayashi
JEI
2008
128views more  JEI 2008»
15 years 6 months ago
Practical use of receiver operating characteristic analysis to assess the performances of defect detection algorithms
Defect detection in images is a current task in quality control and is often integrated in partially or fully automated systems. Assessing the performances of defect detection algo...
Yann Le Meur, Jean-Michel Vignolle, Jocelyn Chanus...
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