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AAAI
2004
13 years 10 months ago
Adaptive Algorithms for Routing and Traffic Engineering in Stochastic Networks
In this paper we report some of the research endeavors we are embarking on as part of the Doctoral research of the first author. We have already completed an investigation of some...
Sudip Misra, B. John Oommen
ENTCS
2006
155views more  ENTCS 2006»
13 years 8 months ago
Biomolecular Agents as Multi-behavioural Concurrent Objects
In recent years, there has been increasing interest in computational models of biological systems based on various calculi of communicating processes, such as the stochastic pi-ca...
Denys Duchier, Céline Kuttler
ICML
2006
IEEE
14 years 9 months ago
Qualitative reinforcement learning
When the transition probabilities and rewards of a Markov Decision Process are specified exactly, the problem can be solved without any interaction with the environment. When no s...
Arkady Epshteyn, Gerald DeJong
UAI
1998
13 years 10 months ago
Learning the Structure of Dynamic Probabilistic Networks
Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend stru...
Nir Friedman, Kevin P. Murphy, Stuart J. Russell
AMAI
2008
Springer
13 years 9 months ago
Bayesian learning of Bayesian networks with informative priors
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
Nicos Angelopoulos, James Cussens