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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»
16 years 1 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
15 years 7 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
15 years 7 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
15 years 6 months 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»
15 years 1 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