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ESANN
2006
15 years 8 months ago
EM-algorithm for training of state-space models with application to time series prediction
In this paper, an improvement to the E step of the EM algorithm for nonlinear state-space models is presented. We also propose strategies for model structure selection when the EM-...
Elia Liitiäinen, Nima Reyhani, Amaury Lendass...
WSC
1997
15 years 8 months ago
Sensitivity of Output Performance Measures to Input Distributions in Queueing Simulation Modeling
With modern simulation packages, the modeler can choose almost any standard statistical distribution for generating input random variables. The question arises as to how sensitive...
Donald Gross, Man Juttijudata
SPDECE
2007
115views Education» more  SPDECE 2007»
15 years 7 months ago
On the General Structure of Ontologies of Instructional Models
This paper addresses the representation of the main elements of instructional models using formal ontology languages. Following existing conceptualizations, models, methods and con...
Miguel-Ángel Sicilia
KBSE
2008
IEEE
16 years 1 months ago
Rhizome: A Feature Modeling and Generation Platform
Rhizome is an end-to-end feature modeling and code generation platform that includes a feature modeling language (FeatureML), a template language (MarkerML) and a template-based c...
Guozheng Ge, E. James Whitehead Jr.
ROBOCUP
2001
Springer
126views Robotics» more  ROBOCUP 2001»
15 years 11 months ago
Recognizing Probabilistic Opponent Movement Models
In multiagent adversarial domains, team agents should adapt to the environment and opponent. We introduce a model representation as part of a planning process for a simulated socce...
Patrick Riley, Manuela M. Veloso