Sciweavers

3 search results - page 1 / 1
» Decreasing isosurface complexity via discrete fitting
Sort
View
56
Voted
CAGD
2000
70views more  CAGD 2000»
14 years 10 months ago
Decreasing isosurface complexity via discrete fitting
Claudio Montani, Riccardo Scateni, Roberto Scopign...
84
Voted
ICML
1998
IEEE
15 years 11 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
14 years 12 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...