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» Building a Stochastic Dynamic Model of Application Use
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IROS
2009
IEEE
206views Robotics» more  IROS 2009»
16 years 1 months ago
Bayesian reinforcement learning in continuous POMDPs with gaussian processes
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
Patrick Dallaire, Camille Besse, Stéphane R...
ICMLA
2008
15 years 8 months ago
A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation
Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Ba...
Silvia Chiappa
156
Voted
EDBT
2004
ACM
129views Database» more  EDBT 2004»
16 years 7 months ago
T-Araneus: Management of Temporal Data-Intensive Web Sites
T-Araneus is a tool for the generation of Web sites with special attention to temporal aspects. It builds on previous experiences in the management of data-intensive Web-sites, an...
Paolo Atzeni, Pierluigi Del Nostro
APN
2009
Springer
16 years 1 months ago
Compositional Service Trees
In the world of Service Oriented Architectures, one deals with networks of cooperating components. A component offers services; to deliver a service it possibly needs services of ...
Wil M. P. van der Aalst, Kees M. van Hee, Peter Ma...
167
Voted
STOC
1997
ACM
111views Algorithms» more  STOC 1997»
15 years 11 months ago
The Swendsen-Wang Process Does Not Always Mix Rapidly
The Swendsen-Wang process provides one possible dynamics for the Qstate Potts model in statistical physics. Computer simulations of this process are widely used to estimate the ex...
Vivek Gore, Mark Jerrum