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AAAI
2011
14 years 6 months ago
Mean Field Inference in Dependency Networks: An Empirical Study
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
Daniel Lowd, Arash Shamaei
ICTAI
2007
IEEE
16 years 1 months ago
Qualitative Constraints Representation for the Time and Space in SAT
In this paper we consider the consistency problem of temporal or spatial qualitive constraint networks. A new encoding making it possible to represent and solve this problem in th...
Jean-François Condotta, Dominique D'Almeida
FUZZY
1994
Springer
194views Fuzzy Logic» more  FUZZY 1994»
15 years 10 months ago
Improving a Fuzzy Inference System by Means of Evolution Strategy
In this paper, evolution strategy is applied in order to improve the time series prediction accuracy of a Sugeno and Takagi type fuzzy inference system FIS. The presented approach...
Willfried Wienholt
CORR
2011
Springer
174views Education» more  CORR 2011»
14 years 10 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
MICRO
2006
IEEE
159views Hardware» more  MICRO 2006»
15 years 6 months ago
MRF Reinforcer: A Probabilistic Element for Space Redundancy in Nanoscale Circuits
Shrinking devices to the nanoscale, increasing integration densities, and reducing of voltage levels down to the thermal limit, all conspire to produce faulty systems. Frequent oc...
Kundan Nepal, R. Iris Bahar, Joseph L. Mundy, Will...