Hidden Markov Models and Applications (eBook)
X, 298 Seiten
Springer-Verlag
978-3-030-99142-5 (ISBN)
Nizar Bouguila received the engineer degree from the University of Tunis, Tunis, Tunisia, in 2000, and the M.Sc. and Ph.D. degrees in computer science from Sherbrooke University, Sherbrooke, QC, Canada, in 2002 and 2006, respectively. He is currently a Professor with the Concordia Institute for Information Systems Engineering (CIISE) at Concordia University, Montreal, Quebec, Canada. His research interests include image processing, machine learning, data mining,, computer vision, and pattern recognition. Prof. Bouguila received the best Ph.D Thesis Award in Engineering and Natural Sciences from Sherbrooke University in 2007. He was awarded the prestigious Prix d'excellence de l'association des doyens des etudes superieures au Quebec (best Ph.D Thesis Award in Engineering and Natural Sciences in Quebec), and was a runner-up for the prestigious NSERC doctoral prize. He was the holder of a Concordia University research Chair Tier 2 from 2014 to 2019 and was named Concordia University research Fellow in 2020. He is the author or co-author of more than 400 publications in several prestigious journals and conferences. He is a regular reviewer for many international journals and serving as associate editor for several journals such as Pattern Recognition journal and Engineering Applications of Artificial Intelligence, etc. Dr. Bouguila is a licensed Professional Engineer registered in Ontario, and a Senior Member of the IEEE.
Wentao Fan received his M.Sc. and Ph.D. degrees in Electrical and Computer Engineering from Concordia University, Montreal, Quebec, Canada, in 2009 and 2014, respectively. He is currently a Professor in the Department of Computer Science and Technology, Huaqiao University, Xiamen, China. His research interests include machine learning, computer vision, deep learning and pattern recognition.
Manar Amayri received the bachelor's degree in power engineering from Damascus University, Damascus, Syria, in 2006, the master's degree in electrical power systems from the Power Department, Damascus University, in 2014, the master's degree in smart grids and buildings from ENES3, INP-Grenoble (Institute National Polytechnique de Grenoble), Grenoble, France, in 2014, and the Ph.D. degree in energy smart-buildings from Grenoble Institute of Technology, Grenoble, in 2017. She was a Post-Doctoral Researcher with INP- Grenoble and then Concordia University, Montreal, QC, Canada, from 2017 to 2020. She is currently an Associate Professor with ENES3, INP-Grenoble, G-SCOP Laboratory (Sciences pour la conception, l'Optimisation et la Production). Her research interests include data mining, machine learning, explainable artificial intelligence (AI), energy, and smart buildings.Erscheint lt. Verlag | 19.5.2022 |
---|---|
Reihe/Serie | Unsupervised and Semi-Supervised Learning |
Zusatzinfo | X, 298 p. 157 illus., 149 illus. in color. |
Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Informatik |
Technik ► Elektrotechnik / Energietechnik | |
Schlagworte | Bayesian Learning • hidden Markov models • infinite models • machine learning, inference • nonparametric Bayesian • Semi-Supervised Learning • supervised learning • Unsupervised Learning |
ISBN-10 | 3-030-99142-3 / 3030991423 |
ISBN-13 | 978-3-030-99142-5 / 9783030991425 |
Haben Sie eine Frage zum Produkt? |
![PDF](/img/icon_pdf_big.jpg)
Größe: 10,5 MB
DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasserzeichen und ist damit für Sie personalisiert. Bei einer missbräuchlichen Weitergabe des eBooks an Dritte ist eine Rückverfolgung an die Quelle möglich.
Dateiformat: PDF (Portable Document Format)
Mit einem festen Seitenlayout eignet sich die PDF besonders für Fachbücher mit Spalten, Tabellen und Abbildungen. Eine PDF kann auf fast allen Geräten angezeigt werden, ist aber für kleine Displays (Smartphone, eReader) nur eingeschränkt geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich