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EOR
2006
97views more  EOR 2006»
15 years 3 months ago
Bayesian portfolio selection with multi-variate random variance models
We consider multi-period portfolio selection problems for a decision maker with a specified utility function when the variance of security returns is described by a discrete time ...
Refik Soyer, Kadir Tanyeri
ICIP
2004
IEEE
16 years 4 months ago
Simultaneous background and foreground modeling for tracking in surveillance video
We present a stochastic tracking algorithm for surveillance video where targets are dim and at low resolution. The algorithm builds motion models for both background and foregroun...
Jie Shao, Shaohua Kevin Zhou, Rama Chellappa
CMSB
2006
Springer
15 years 6 months ago
Stronger Computational Modelling of Signalling Pathways Using Both Continuous and Discrete-State Methods
Abstract. Starting from a biochemical signalling pathway model expressed in a process algebra enriched with quantitative information we automatically derive both continuous-space a...
Muffy Calder, Adam Duguid, Stephen Gilmore, Jane H...
ML
2000
ACM
103views Machine Learning» more  ML 2000»
15 years 2 months ago
Nonparametric Time Series Prediction Through Adaptive Model Selection
We consider the problem of one-step ahead prediction for time series generated by an underlying stationary stochastic process obeying the condition of absolute regularity, describi...
Ron Meir
ICIP
2004
IEEE
16 years 4 months ago
Estimation of mixtures of probabilistic pca with stochastic em for the 3d biplanar reconstruction of scoliotic rib cage
In this paper, we present a robust method for estimating the model parameters in a mixture of probabilistic principal component analyzers. This method is based on the Stochastic v...
François Destrempes, Jacques A. de Guise, M...