3694 search results - page 70 / 739 » Stochastic complexity in learning |
ANSS
2006
IEEE
14 years 1 months ago
2006
IEEE
In this paper Hidden Markov Model algorithms are considered as a method for computing conditional properties of continuous-time stochastic simulation models. The goal is to develo...
QOFIS
2004
Springer
14 years 1 months ago
2004
Springer
Pricing is considered a relevant way to control congestion and differentiate services in communication networks. Among all pricing schemes, auctioning for bandwidth has received a...
NIPS
2007
13 years 9 months ago
2007
Many perceptual processes and neural computations, such as speech recognition, motor control and learning, depend on the ability to measure and mark the passage of time. However, ...
MCS
2009
Springer
14 years 2 months ago
2009
Springer
There are a variety of methods for inducing predictive systems from observed data. Many of these methods fall into the field of study of machine learning. Some of the most effec...
GECCO
2010
Springer
13 years 9 months ago
2010
Springer
Several population-based methods (with origins in the world of evolutionary strategies and estimation-of-distribution algorithms) for black-box optimization in continuous domains ...