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» Using probabilistic model checking in systems biology
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134
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AI
2002
Springer
15 years 3 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
152
Voted
GLOBECOM
2010
IEEE
15 years 1 months ago
Need-Based Communication for Smart Grid: When to Inquire Power Price?
In smart grid, a home appliance can adjust its power consumption level according to the realtime power price obtained from communication channels. Most studies on smart grid do not...
Husheng Li, Robert C. Qiu
231
Voted
SIGMOD
2008
ACM
169views Database» more  SIGMOD 2008»
16 years 3 months ago
MCDB: a monte carlo approach to managing uncertain data
To deal with data uncertainty, existing probabilistic database systems augment tuples with attribute-level or tuple-level probability values, which are loaded into the database al...
Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Per...
134
Voted
IROS
2009
IEEE
203views Robotics» more  IROS 2009»
15 years 10 months ago
CoMutaR: A framework for multi-robot coordination and task allocation
— In multi-robot systems, task allocation and coordination are two fundamental problems that share high synergy. Although multi-robot architectures typically separate them into d...
Pedro M. Shiroma, Maria Fernando Montenegro Campos
126
Voted
CASES
2009
ACM
15 years 10 months ago
Tight WCRT analysis of synchronous C programs
Accurate estimation of the tick length of a synchronous program is essential for efficient and predictable implementations that are devoid of timing faults. The techniques to dete...
Partha S. Roop, Sidharta Andalam, Reinhard von Han...