Elements of Sequential Monte Carlo - Couverture souple

Naesseth, Christian A.; Lindsten, Fredrik; Schön, Thomas B.

 
9781680836325: Elements of Sequential Monte Carlo
Couverture souple
ISBN 10 : 1680836323 ISBN 13 : 9781680836325
Editeur : now publishers Inc, 2019

Synopsis

A key strategy in machine learning is to break down a problem into smaller and more manageable parts, then process data or unknown variables recursively. Sequential Monte Carlo (SMC) is a technique for solving statistical inference problems recursively. Over the last 20 years, SMC has been developed to enabled inference in increasingly complex and challenging models in Signal Processing and Statistics. This monograph shows how the powerful technique can be applied to machine learning problems such as probabilistic programming, variational inference and inference evaluation to name a few.Written in a tutorial style, Elements of Sequential Monte Carlo introduces the basics of SMC, discusses practical issues, and reviews theoretical results before guiding the reader through a series of advanced topics to give a complete overview of the topic and its application to machine learning problems.

This monograph provides an accessible treatment for researchers of a topic that has recently gained significant interest in the machine learning community.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
now publishers Inc
Date d'édition
2019
Langue
anglais
ISBN 10 
1680836323
ISBN 13 
9781680836325
Reliure
Broché
Nombre de pages
134
Coordonnées du fabricant
non disponible
Personne responsable
non disponible