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» McPOWER: a Monte Carlo approach to power estimation
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ISBI
2008
IEEE
16 years 2 months ago
FMRI brain activity and underlying hemodynamics estimation in a new Bayesian framework
The emerging functional MRI (Magnetic Resonance Imaging), fMRI, imaging modality was developed to obtain non-invasive information regarding the neural processes behind pre-determi...
David M. Afonso, João M. Sanches, Martin H....
NECO
2007
129views more  NECO 2007»
15 years 24 days ago
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
Shinichi Nakajima, Sumio Watanabe
WSC
2007
15 years 3 months ago
Transformations for accelerating MCMC simulations with broken ergodicity
A new approach for overcoming broken ergodicity in Markov Chain Monte Carlo (MCMC) simulations of complex systems is described. The problem of broken ergodicity is often present i...
Mark Fleischer
IPPS
2008
IEEE
15 years 7 months ago
Optimal spot-checking to minimize the computation time in volunteer computing
This paper proposes an optimization technique for spotchecking to minimize the computation time of volunteer computing (VC) systems with malicious participants who return erroneou...
Kan Watanabe, Masaru Fukushi, Susumu Horiguchi
RT
2001
Springer
15 years 5 months ago
Path Differentials and Applications
Abstract. Photo-realistic rendering algorithms such as Monte Carlo ray tracing sample individual paths to compute images. Noise and aliasing artefacts are usually reduced by supers...
Frank Suykens, Yves D. Willems