Sciweavers

5409 search results - page 14 / 1082
» Basic Observables for Processes
Sort
View
ICML
1999
IEEE
14 years 8 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
14 years 4 months ago
On the Unification of Process Semantics: Observational Semantics
David de Frutos-Escrig, Carlos Gregorio-Rodr&iacut...
ISESE
2003
IEEE
14 years 24 days 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