Aller au contenu principal
Bibliothèque de L'IMIST/CNRST
Votre panier est vide.
Panier
Listes
Listes publiques
Nouvelles acquisition - avril
Lexis Nexis
Contributions académiques
Acquisition Septembre 2021
Langue arabe
Tout voir
Mes listes
Connectez-vous pour créer vos listes personnelles
Langues
Français
English
لعربية
Connexion à votre compte
Historique de recherche
Effacer
×
Ask A Librarian
Name:
Phone No:
Email:
Comment:
Chercher
Catalogue
Titre
Auteur
Sujet
ISBN
ISSN
Collection
Cote
Toutes les bibliothèques
La bibliothèque des lettres et sciences humaines et sociales
La bibliothèque des sciences de l'ingénieur
La bibliothèque des Sciences Exactes et Naturelles
La bibliothèque des Sciences Juridiques, Economiques et de Gestion
La bibliothèque des Sciences Médicales et Pharmaceutiques
Valider
Recherche avancée
Recherche d'autorités
Nuage de tags
Suggestions d'achat
×
Connexion à votre compte
Identifiant :
Mot de passe :
Vous n'avez pas de compte ?
Cliquer ici pour vous créer un compte.
Accueil
›
Résultats de recherche pour 'au:Barber,, David,'
Affiner votre recherche
Disponibilité
Limiter aux exemplaires disponibles.
Auteurs
Barber, David
(1)
Barber,, David
(1)
Cemgil, Ali Taylan
(1)
Chiappa, Silvia
(1)
Sites de rattachement
La bibliothèque des sciences de l'ingénieur
(1)
La bibliothèque des Sciences Exactes et Naturelles
(1)
Types de document
Livre
(2)
Sujets
Bayesian statistical...
(2)
COMPUTERS / Computer...
(1)
Machine learning
(1)
Time-series analysis
(1)
Votre recherche a retourné 2 résultats.
Pertinence
Popularité (plus à moins)
Popularité (moins à plus)
Auteur (A-Z)
Auteur (Z-A)
Cote (0-9 à A-Z)
Cote (Z-A à 9-0)
Date de publication : décroissante
Date de publication : Croissante
Date d'acquisition : décroissante
Date d'acquisition : croissante
Titre (A-Z)
Titre (Z-A)
Ne pas surligner
Surligner
|
|
Bayesian reasoning and machine learning
par
Barber,, David,
Publication :
Cambridge | New York Cambridge University Press 2011 . xxiv, 697 pages , "Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors, including a MATLAB toolbox, are available online"-- | "Vast amounts of data present amajor challenge to all thoseworking in computer science, and its many related fields, who need to process and extract value from such data. Machine learning technology is already used to help with this task in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis and robot locomotion. As its usage becomes more widespread, no student should be without the skills taught in this book. Designed for final-year undergraduate and graduate students, this gentle introduction is ideally suited to readers without a solid background in linear algebra and calculus. It covers everything from basic reasoning to advanced techniques in machine learning, and rucially enables students to construct their own models for real-world problems by teaching them what lies behind the methods. Numerous examples and exercises are included in the text. Comprehensive resources for students and instructors are available online"-- 26 cm.
Date :
2011
Disponibilité :
Exemplaires disponibles:
La bibliothèque des sciences de l'ingénieur (1),
Réserver
Ajouter au panier
(Supprimer)
Bayesian time series models
Publication :
Cambridge, UK | New York Cambridge University Press 2011 . xiii, 417 pages , "'What's going to happen next?' Time series data hold the answers, and Bayesian methods represent the cutting edge in learning what they have to say. This ambitious book is the first unified treatment of the emerging knowledge-base in Bayesian time series techniques. Exploiting the unifying framework of probabilistic graphical models, the book covers approximation schemes, both Monte Carlo and deterministic, and introduces switching, multi-object, non-parametric and agent-based models in a variety of application environments. It demonstrates that the basic framework supports the rapid creation of models tailored to specific applications and gives insight into the computational complexity of their implementation. The authors span traditional disciplines such as statistics and engineering and the more recently established areas of machine learning and pattern recognition. Readers with a basic understanding of applied probability, but no experience with time series analysis, are guided from fundamental concepts to the state-of-the-art in research and practice"-- | "Time series appear in a variety of disciplines, from finance to physics, computer science to biology. The origins of the subject and diverse applications in the engineering and physics literature at times obscure the commonalities in the underlying models and techniques. A central aim of this book is an attempt to make modern time series techniques accessible to a broad range of researchers, based on the unifying concept of probabilistic models. These techniques facilitate access to the modern time series literature, including financial time series prediction, video-tracking, music analysis, control and genetic sequence analysis. A particular feature of the book is that it brings together leading researchers that span the more traditional disciplines of statistics, control theory, engineering and signal processing,to the more recent area machine learning and pattern recognition"-- 26 cm.
Date :
2011
Disponibilité :
Exemplaires disponibles:
La bibliothèque des Sciences Exactes et Naturelles (1),
Réserver
Ajouter au panier
(Supprimer)
Vous ne trouvez pas ce que vous cherchez ?
Faites une
suggestion d'achat
© Tous droits résérvés IMIST/CNRST
Angle Av. Allal Al Fassi et Av. des FAR, Hay Ryad, BP 8027, 10102 Rabat, Maroc
Tél:(+212) 05 37.56.98.00
CNRST
/
IMIST
Propulsé par
Koha