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ICWS
2004
IEEE
13 years 8 months ago
Dynamic Workflow Composition using Markov Decision Processes
The advent of Web services has made automated workflow composition relevant to Web based applications. One technique that has received some attention, for automatically composing ...
Prashant Doshi, Richard Goodwin, Rama Akkiraju, Ku...
TASLP
2002
109views more  TASLP 2002»
13 years 7 months ago
Particle methods for Bayesian modeling and enhancement of speech signals
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, S...
ICML
2000
IEEE
14 years 8 months ago
Reinforcement Learning in POMDP's via Direct Gradient Ascent
This paper discusses theoretical and experimental aspects of gradient-based approaches to the direct optimization of policy performance in controlled ??? ?s. We introduce ??? ?, a...
Jonathan Baxter, Peter L. Bartlett
PE
2010
Springer
123views Optimization» more  PE 2010»
13 years 2 months ago
Evaluating fluid semantics for passive stochastic process algebra cooperation
Fluid modelling is a next-generation technique for analysing massive performance models. Passive cooperation is a popular cooperation mechanism frequently used by performance engi...
Richard A. Hayden, Jeremy T. Bradley
ANSS
2005
IEEE
14 years 1 months ago
Approximation Techniques for the Analysis of Large Traffic-Groomed Tandem Optical Networks
We consider a traffic-groomed optical network consisting of N nodes arranged in tandem. This optical network is modeled by a tandem queueing network of multi-rate loss queues with...
Alicia Nicki Washington, Chih-Chieh Hsu, Harry G. ...