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» Scheduling Under Conditions of Uncertainty: A Bayesian Appro...
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KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 8 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
ICCS
2007
Springer
14 years 1 months ago
Adaptive Observation Strategies for Forecast Error Minimization
Abstract. Using a scenario of multiple mobile observing platforms (UAVs) measuring weather variables in distributed regions of the Pacific, we are developing algorithms that will ...
Nicholas Roy, Han-Lim Choi, Daniel Gombos, James H...
GLOBECOM
2007
IEEE
14 years 1 months ago
Output Traffic Characterization of Policers and Shapers with Long-Range Dependent Input Traffic
 Long-range dependence (LRD) is a largely verified property of Internet traffic, which severely affects network queuing. An approach for guaranteeing performance requirements is...
Stefano Bregni, Paolo Giacomazzi, Gabriella Saddem...
LPNMR
2005
Springer
14 years 29 days ago
Revisiting the Semantics of Interval Probabilistic Logic Programs
Two approaches to logic programming with probabilities emerged over time: bayesian reasoning and probabilistic satisfiability (PSAT). The attractiveness of the former is in tying ...
Alex Dekhtyar, Michael I. Dekhtyar
BMCBI
2007
97views more  BMCBI 2007»
13 years 7 months ago
A procedure for the estimation over time of metabolic fluxes in scenarios where measurements are uncertain and/or insufficient
Background: An indirect approach is usually used to estimate the metabolic fluxes of an organism: couple the available measurements with known biological constraints (e.g. stoichi...
Francisco Llaneras, Jesús Picó