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» Timed, Distributed, Probabilistic, Typed Processes
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ICGI
2010
Springer
13 years 7 months ago
Learning PDFA with Asynchronous Transitions
In this paper we extend the PAC learning algorithm due to Clark and Thollard for learning distributions generated by PDFA to automata whose transitions may take varying time length...
Borja Balle, Jorge Castro, Ricard Gavaldà
NIPS
2004
13 years 10 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
ANOR
2006
100views more  ANOR 2006»
13 years 8 months ago
A BMAP/G/1 Retrial Queue with a Server Subject to Breakdowns and Repairs
In this paper, we consider a BMAP/G/1 retrial queue with a server subject to breakdowns and repairs, where the life time of the server is exponential and the repair time is general...
Quan-Lin Li, Yu Ying, Yiqiang Q. Zhao
WSC
1997
13 years 10 months ago
Integrating Distributed Simulation Objects
Creating comprehensive simulation models can be expensive and time consuming. This paper discusses our efforts to develop a general methodology that will allow users to quickly an...
Joseph A. Heim
ICML
2009
IEEE
14 years 9 months ago
Detecting the direction of causal time series
We propose a method that detects the true direction of time series, by fitting an autoregressive moving average model to the data. Whenever the noise is independent of the previou...
Arthur Gretton, Bernhard Schölkopf, Dominik J...