278 search results - page 9 / 56 » The one-way function based on computational uncertainty prin... |
JAIR
2010
14 years 8 months ago
2010
This paper deals with value (and Q-) function approximation in deterministic Markovian decision processes (MDPs). A general statistical framework based on the Kalman filtering pa...
IJON
2008
14 years 10 months ago
2008
Virtual neurons are essential in computational neuroscience to study the relation between neuronal form and function. One way of obtaining virtual neurons is by algorithmic genera...
ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
In kernel density estimation methods, an approximation of the data probability density function is achieved by locating a kernel function at each data location. The smoothness of ...
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MICCAI
2008
Springer
15 years 11 months ago
2008
Springer
Abstract. We propose a semi-supervised, kinetic modeling based segmentation technique for molecular imaging applications. It is an iterative, self-learning algorithm based on uncer...
CCE
2007
14 years 10 months ago
2007
This work describes a stochastic approach for the optimal placement of sensors in municipal water networks to detect maliciously injected contaminants. The model minimizes the exp...