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Hidden Markov Models and Dynamical Systems
Taschenbuch von Andrew M Fraser
Sprache: Englisch

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Beschreibung
Presents algorithms for using HMMs and explains the derivation of those algorithms for the dynamical systems community.
Presents algorithms for using HMMs and explains the derivation of those algorithms for the dynamical systems community.
Über den Autor
Andrew M. Fraser is a Technical Staff Member in the ISR division of the Los Alamos National Laboratory where he uses stochastic models in his work on signal analysis. He spent 15 years at Portland State University in Oregon serving on the faculties of both the Systems Science PhD Program and the Electrical and Computer Engineering Department before joining LANL in 2005. He earned a PhD in Physics from UT-Austin with a dissertation on the use of mutual information estimates in the analysis of chaotic time series. Before graduate school, he designed bipolar memory technology and products at Fairchild semiconductor. He is a member of SIAM and a Senior Member of the IEEE.
Details
Erscheinungsjahr: 2009
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Importe, Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9780898716658
ISBN-10: 0898716659
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Fraser, Andrew M
Hersteller: Society for Industrial and Applied Mathematics (SIAM)
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 247 x 174 x 7 mm
Von/Mit: Andrew M Fraser
Erscheinungsdatum: 19.03.2009
Gewicht: 0,272 kg
Artikel-ID: 106119414
Über den Autor
Andrew M. Fraser is a Technical Staff Member in the ISR division of the Los Alamos National Laboratory where he uses stochastic models in his work on signal analysis. He spent 15 years at Portland State University in Oregon serving on the faculties of both the Systems Science PhD Program and the Electrical and Computer Engineering Department before joining LANL in 2005. He earned a PhD in Physics from UT-Austin with a dissertation on the use of mutual information estimates in the analysis of chaotic time series. Before graduate school, he designed bipolar memory technology and products at Fairchild semiconductor. He is a member of SIAM and a Senior Member of the IEEE.
Details
Erscheinungsjahr: 2009
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Importe, Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9780898716658
ISBN-10: 0898716659
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Fraser, Andrew M
Hersteller: Society for Industrial and Applied Mathematics (SIAM)
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 247 x 174 x 7 mm
Von/Mit: Andrew M Fraser
Erscheinungsdatum: 19.03.2009
Gewicht: 0,272 kg
Artikel-ID: 106119414
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