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» Monte Carlo simulation approach to stochastic programming
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PKDD
2000
Springer
108views Data Mining» more  PKDD 2000»
15 years 9 months ago
Application of Reinforcement Learning to Electrical Power System Closed-Loop Emergency Control
This paper investigates the use of reinforcement learning in electric power system emergency control. The approach consists of using numerical simulations together with on-policy M...
Christophe Druet, Damien Ernst, Louis Wehenkel
WSC
2008
15 years 8 months ago
Fast simulation of equity-linked life insurance contracts with a surrender option
In this paper, we consider equity-linked life insurance contracts that give their holder the possibility to surrender their policy before maturity. Such contracts can be valued us...
Carole Bernard, Christiane Lemieux
KES
2007
Springer
16 years 4 days ago
Random Germs and Stochastic Watershed for Unsupervised Multispectral Image Segmentation
This paper extends the use of stochastic watershed, recently introduced by Angulo and Jeulin [1], to unsupervised segmentation of multispectral images. Several probability density ...
Guillaume Noyel, Jesús Angulo, Dominique Je...
AAAI
2012
13 years 8 months ago
A Search Algorithm for Latent Variable Models with Unbounded Domains
This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...
Michael Chiang, David Poole
ISQED
2003
IEEE
127views Hardware» more  ISQED 2003»
15 years 11 months ago
Statistical Modeling for Circuit Simulation
Accurate statistical simulation and modeling are important for IC design. Different types of statistical simulation require different types of statistical models. In this paper a ...
Colin C. McAndrew