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» Learning and Inference with Constraints
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ICASSP
2011
IEEE
14 years 11 months ago
Cooperative prey herding based on diffusion adaptation
Mobile adaptive networks consist of a collection of nodes with learning and motion abilities that interact with each other locally in order to solve distributed processing and dis...
Sheng-Yuan Tu, Ali H. Sayed
BMCBI
2006
126views more  BMCBI 2006»
15 years 7 months ago
A joint model of regulatory and metabolic networks
Background: Gene regulation and metabolic reactions are two primary activities of life. Although many works have been dedicated to study each system, the coupling between them is ...
Chen-Hsiang Yeang, Martin Vingron
ISRR
2005
Springer
154views Robotics» more  ISRR 2005»
16 years 24 days ago
Session Overview Planning
ys when planning meant searching for a sequence of abstract actions that satisfied some symbolic predicate. Robots can now learn their own representations through statistical infe...
Nicholas Roy, Roland Siegwart
ICPR
2010
IEEE
16 years 2 months ago
Semi-Supervised Distance Metric Learning by Quadratic Programming
This paper introduces a semi-supervised distance metric learning algorithm which uses pair-wise equivalence (similarity and dissimilarity) constraints to improve the original dist...
Hakan Cevikalp
CSE
2009
IEEE
16 years 3 hour ago
Social Learning Applications in Resource Constrained Networks
Efficient design of social networking applications must take account of two guiding principles: the adaptive processes by which humans learn and spread new information, and the co...
Ali Saidi, Mahesh V. Tripunitara, Mojdeh Mohtashem...