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102
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CORR
2008
Springer
14 years 12 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
EOR
2008
14 years 12 months ago
2008
We consider the robust surgery loading problem for a hospital's operating theatre department, which concerns assigning surgeries and sufficient planned slack to operating roo...
121
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JAIR
2008
14 years 11 months ago
2008
Probabilistic planning problems are typically modeled as a Markov Decision Process (MDP). MDPs, while an otherwise expressive model, allow only for sequential, non-durative action...
JAIR
2008
14 years 11 months ago
2008
Multi-agent planning in stochastic environments can be framed formally as a decentralized Markov decision problem. Many real-life distributed problems that arise in manufacturing,...
NC
2006
14 years 11 months ago
2006
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...