908 search results - page 65 / 182 » Stochastic Finite Learning |
NIPS
2007
13 years 10 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 3 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 10 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 ...
CSL
2008
Springer
13 years 9 months ago
2008
Springer
We present a new methodology of user simulation applied to the evaluation and refinement of stochastic dialog systems. Common weaknesses of these systems are the scarceness of the...
BC
2006
13 years 9 months ago
2006
Recruitment learning in hierarchies is an inherently unstable process (Valiant, 1994). This paper presents conditions on parameters for a feedforward network to ensure stable recru...