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EMO
2001
Springer
209views Optimization» more  EMO 2001»
13 years 12 months ago
Comparison of Evolutionary and Deterministic Multiobjective Algorithms for Dose Optimization in Brachytherapy
We compare two multiobjective evolutionary algorithms, with deterministic gradient based optimization methods for the dose optimization problem in high-dose rate (HDR) brachythera...
Natasa Milickovic, Michael Lahanas, Dimos Baltas, ...
SIGGRAPH
1993
ACM
13 years 11 months ago
Turbulent wind fields for gaseous phenomena
The realistic depiction of smoke, steam, mist and water reacting to a turbulent eld such as wind is an attractive and challenging problem. Its solution requires interlocking model...
Jos Stam, Eugene Fiume
AAAI
2008
13 years 9 months ago
A Variance Analysis for POMDP Policy Evaluation
Partially Observable Markov Decision Processes have been studied widely as a model for decision making under uncertainty, and a number of methods have been developed to find the s...
Mahdi Milani Fard, Joelle Pineau, Peng Sun
CPAIOR
2008
Springer
13 years 9 months ago
Leveraging Belief Propagation, Backtrack Search, and Statistics for Model Counting
We consider the problem of estimating the model count (number of solutions) of Boolean formulas, and present two techniques that compute estimates of these counts, as well as eith...
Lukas Kroc, Ashish Sabharwal, Bart Selman
UAI
2003
13 years 8 months ago
Learning Module Networks
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...