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» Basic Observables for Processes
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104
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ICML
1999
IEEE
15 years 11 months ago
Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
Sebastian Thrun, John Langford, Dieter Fox
SOFSEM
2009
Springer
15 years 7 months ago
On the Unification of Process Semantics: Observational Semantics
David de Frutos-Escrig, Carlos Gregorio-Rodr&iacut...
88
Voted
ISESE
2003
IEEE
15 years 4 months ago
Observational Studies to Accelerate Process Experience in Classroom Studies: An Evaluation
Software Engineering studies run in classroom environments can and have made important contributions to empirical software engineering. Because the goal of such studies is to impr...
Jeffrey Carver, Forrest Shull, Victor R. Basili
60
Voted
MMB
2010
Springer
141views Communications» more  MMB 2010»
15 years 3 months ago
An EM Algorithm for Markovian Arrival Processes Observed at Discrete Times
Lothar Breuer, Alfred Kume