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» Inference in Bayesian Networks
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BMCBI
2008
152views more  BMCBI 2008»
15 years 3 months ago
Predicting biological system objectives de novo from internal state measurements
Background: Optimization theory has been applied to complex biological systems to interrogate network properties and develop and refine metabolic engineering strategies. For examp...
Erwin P. Gianchandani, Matthew A. Oberhardt, Antho...
CN
2007
91views more  CN 2007»
15 years 3 months ago
On investigating overlay service topologies
Recently, a moderate amount of work has been reported on the use of overlay networks to support value-added network services, such as multicasting, Quality of Service (QoS), secur...
Zhi Li, Prasant Mohapatra
131
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AMAI
1999
Springer
15 years 2 months ago
STCSP - Structured Temporal Constraint satisfaction Problems
Temporal Constraint Satisfaction Problems (TCSP) is a well known approach for representing and processing temporal knowledge. Important properties of the knowledge can be inferred...
Mira Balaban, Tzachi Rosen
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 3 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
ESWA
2008
151views more  ESWA 2008»
15 years 3 months ago
Automated diagnosis of sewer pipe defects based on machine learning approaches
In sewage rehabilitation planning, closed circuit television (CCTV) systems are the widely used inspection tools in assessing sewage structural conditions for non man entry pipes....
Ming-Der Yang, Tung-Ching Su