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» Decreasing isosurface complexity via discrete fitting
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CAGD
2000
70views more  CAGD 2000»
13 years 5 months ago
Decreasing isosurface complexity via discrete fitting
Claudio Montani, Riccardo Scateni, Roberto Scopign...
ICML
1998
IEEE
14 years 6 months ago
Bayesian Network Classification with Continuous Attributes: Getting the Best of Both Discretization and Parametric Fitting
In a recent paper, Friedman, Geiger, and Goldszmidt [8] introduced a classifier based on Bayesian networks, called Tree Augmented Naive Bayes (TAN), that outperforms naive Bayes a...
Moisés Goldszmidt, Nir Friedman, Thomas J. ...
CEC
2007
IEEE
13 years 7 months ago
A novel general framework for evolutionary optimization: Adaptive fuzzy fitness granulation
— Computational complexity is a major challenge in evolutionary algorithms due to their need for repeated fitness function evaluations. Here, we aim to reduce number of fitness f...
Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonch...