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» Predicting non-stationary processes
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NIPS
2007
15 years 5 months ago
Inferring Elapsed Time from Stochastic Neural Processes
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, ...
Misha Ahrens, Maneesh Sahani
168
Voted
ROOM
2000
15 years 5 months ago
An Overview of The Mensurae Language: Specifying Business Processes
We describe a language which can be used to model business processes (both technical and nontechnical). It has a formal semantics, so as to enable formal analysis and prediction o...
T. S. E. Maibaum
145
Voted
ARCS
2005
Springer
15 years 9 months ago
The Bio-Chemical Information Processing Metaphor as a Programming Paradigm for Organic Computing
All known life forms process information on a molecular level. This kind of chemical information processing is known to be robust, self-organizing, adaptive, decentralized, asynch...
Peter Dittrich
NIPS
2004
15 years 5 months ago
Log-concavity Results on Gaussian Process Methods for Supervised and Unsupervised Learning
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...
Liam Paninski
146
Voted
AUTOMATICA
2007
97views more  AUTOMATICA 2007»
15 years 4 months ago
Control of dynamic keyhole welding process
Weld joint penetration control is a basic research topic in the welding research community. The authors propose using an innovative plasma arc welding process referred to as the q...
Y. M. Zhang, Y. C. Liu