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CEC
2009
IEEE
15 years 4 months ago
Multi-objective Combinatorial Optimisation with Coincidence algorithm
-- Most optimization algorithms that use probabilistic models focus on extracting the information from good solutions found in the population. A selection method discards the below...
Warin Wattanapornprom, Panuwat Olanviwitchai, Para...
ICSE
2012
IEEE-ACM
13 years 9 months ago
Engineering and verifying requirements for programmable self-assembling nanomachines
—We propose an extension of van Lamsweerde’s goal-oriented requirements engineering to the domain of programmable DNA nanotechnology. This is a domain in which individual devic...
Robyn R. Lutz, Jack H. Lutz, James I. Lathrop, Tit...
IWSEC
2007
Springer
16 years 21 days ago
Processing Multi-parameter Attacktrees with Estimated Parameter Values
Abstract. Authors extend the multi-parameter attacktree model to include inaccurate or estimated parameter values, which are modelled as probabilistic interval estimations. The pap...
Aivo Jürgenson, Jan Willemson
CONTEXT
2001
Springer
15 years 11 months ago
Belief Expansion, Contextual Fit, and the Reliability of Information Sources
We develop a probabilistic criterion for belief expansion that is sensitive to the degree of contextual fit of the new information to our belief set as well as to the reliability...
Luc Bovens, Stephan Hartmann
SDM
2004
SIAM
218views Data Mining» more  SDM 2004»
15 years 8 months ago
Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density e...
Ashok N. Srivastava