Catálogo de publicaciones - libros
Inference in Hidden Markov Models
Olivier Cappé Eric Moulines Tobias Rydén
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No disponible.
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Disponibilidad
| Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No detectada | 2005 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-0-387-40264-2
ISBN electrónico
978-0-387-28982-3
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2005
Información sobre derechos de publicación
© Springer Science+Business Media, Inc. 2005
Cobertura temática
Tabla de contenidos
Maximum Likelihood Inference, Part I: Optimization Through Exact Smoothing
Olivier Cappé; Eric Moulines; Tobias Rydén
Decision support systems (DSS) are in the center of today’s experts’ attention, due to their abilities to allow significant increase of the quality of optimal decision selection among a large number of alternatives. In this paper we discuss assessment criteria of delivery quality in the transport logistics applaying methods from non-classical logic.
Part II - Parameter Inference | Pp. 347-395
Maximum Likelihood Inference, Part II: Monte Carlo Optimization
Olivier Cappé; Eric Moulines; Tobias Rydén
Decision support systems (DSS) are in the center of today’s experts’ attention, due to their abilities to allow significant increase of the quality of optimal decision selection among a large number of alternatives. In this paper we discuss assessment criteria of delivery quality in the transport logistics applaying methods from non-classical logic.
Part II - Parameter Inference | Pp. 397-439
Statistical Properties of the Maximum Likelihood Estimator
Olivier Cappé; Eric Moulines; Tobias Rydén
Decision support systems (DSS) are in the center of today’s experts’ attention, due to their abilities to allow significant increase of the quality of optimal decision selection among a large number of alternatives. In this paper we discuss assessment criteria of delivery quality in the transport logistics applaying methods from non-classical logic.
Part II - Parameter Inference | Pp. 441-469
Fully Bayesian Approaches
Olivier Cappé; Eric Moulines; Tobias Rydén
Decision support systems (DSS) are in the center of today’s experts’ attention, due to their abilities to allow significant increase of the quality of optimal decision selection among a large number of alternatives. In this paper we discuss assessment criteria of delivery quality in the transport logistics applaying methods from non-classical logic.
Part II - Parameter Inference | Pp. 471-510
Elements of Markov Chain Theory
Olivier Cappé; Eric Moulines; Tobias Rydén
Decision support systems (DSS) are in the center of today’s experts’ attention, due to their abilities to allow significant increase of the quality of optimal decision selection among a large number of alternatives. In this paper we discuss assessment criteria of delivery quality in the transport logistics applaying methods from non-classical logic.
Part III - Background and Complements | Pp. 513-564
An Information-Theoretic Perspective on Order Estimation
Olivier Cappé; Eric Moulines; Tobias Rydén
Decision support systems (DSS) are in the center of today’s experts’ attention, due to their abilities to allow significant increase of the quality of optimal decision selection among a large number of alternatives. In this paper we discuss assessment criteria of delivery quality in the transport logistics applaying methods from non-classical logic.
Part III - Background and Complements | Pp. 565-601