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» Decision Making Using Probabilistic Inference Methods
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107
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ECAI
2004
Springer
15 years 6 months ago
Instance-Based Prediction with Guaranteed Confidence
Instance-based learning (IBL) algorithms have proved to be successful in many applications. However, as opposed to standard statistical methods, a prediction in IBL is usually give...
Eyke Hüllermeier
112
Voted
JCP
2007
108views more  JCP 2007»
15 years 2 months ago
A Genetic Algorithm Method to Assimilate Sensor Data for a Toxic Contaminant Release
— Following a toxic contaminant release, either accidental or intentional, predicting the transport and dispersion of the contaminant becomes a critical problem for Homeland Defe...
Sue Ellen Haupt, George S. Young, Christopher T. A...
ICASSP
2010
IEEE
15 years 2 months ago
Prior-based vanishing point estimation through global perspective structure matching
In this paper, we describe a prior-based vanishing point estimation method through global perspective structure matching (GPSM). In contrast to the traditional approaches which re...
Qi Wu, Wende Zhang, Tsuhan Chen, B. V. K. Vijaya K...
111
Voted
GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
15 years 8 months ago
Combining competent crossover and mutation operators: a probabilistic model building approach
This paper presents an approach to combine competent crossover and mutation operators via probabilistic model building. Both operators are based on the probabilistic model buildin...
Cláudio F. Lima, Kumara Sastry, David E. Go...
133
Voted
AAAI
2008
15 years 4 months ago
Loop Calculus for Satisfiability
Loop Calculus, introduced by Chertkov and Chernyak, is a new technique to incrementally improve approximations computed by Loopy Belief Propagation (LBP), with the ability to even...
Lukas Kroc, Michael Chertkov