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» Structure learning of Bayesian networks using constraints
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ICRA
2010
IEEE
144views Robotics» more  ICRA 2010»
15 years 3 months ago
Adaptation to robot failures and shape change in decentralized construction
— Our prior work [1] presented a decentralized algorithm for coordinating the construction of a truss structure out of multiple components. In this paper, we discuss adaptation i...
Seung-kook Yun, Daniela Rus
CP
2003
Springer
15 years 9 months ago
Solving Max-SAT as Weighted CSP
For the last ten years, a significant amount of work in the constraint community has been devoted to the improvement of complete methods for solving soft constraints networks. We ...
Simon de Givry, Javier Larrosa, Pedro Meseguer, Th...
FLAIRS
2001
15 years 6 months ago
Time Series Analysis Using Unsupervised Construction of Hierarchical Classifiers
Recently we have proposed an algorithm of constructing hierarchical neural network classifiers (HNNC), that is based on a modification of error back-propagation. This algorithm co...
S. A. Dolenko, Yu. V. Orlov, I. G. Persiantsev, Ju...
WCNC
2008
IEEE
15 years 11 months ago
Integrated Source-Channel Decoding for Correlated Data-Gathering Sensor Networks
Abstract— This paper explores integrated source-channel decoding, driven by wireless sensor network applications where correlated information acquired by the network is gathered ...
Sheryl L. Howard, Paul G. Flikkema
HICSS
2005
IEEE
154views Biometrics» more  HICSS 2005»
15 years 10 months ago
Market Structure and the Predictability of Electricity System Line Flows: An Experimental Analysis
Robert Thomas has shown, using simulations of experimental results, that the power flow on any line in an electric network is linearly proportional to the total system load when t...
Nodir Adilov, Thomas Light, Richard E. Schuler, Wi...