Name: Elements of Sequential Monte Carlo (Foundations and Trends (r) in Machine Learning) (en Inglés)
Price: 403215.00 COP
Availability: InStock
Author: Christian A. Naesseth; Fredrik Lindsten; Thomas B. Schoen
ISBN: 9781680836325

portada Elements of Sequential Monte Carlo (Foundations and Trends (r) in Machine Learning) (en Inglés)

Formato

Libro Físico

Editorial

Now Publishers Inc

Autor

Christian A. Naesseth; Fredrik Lindsten; Thomas B. Schoen

Año

2019

Idioma

Inglés

N° páginas

134

Encuadernación

Tapa Blanda

ISBN13

9781680836325

Categorías

Teoría matemática de la computación
Machine learning: aprendizaje automático

Elements of Sequential Monte Carlo (Foundations and Trends (r) in Machine Learning) (en Inglés)

Christian A. Naesseth; Fredrik Lindsten; Thomas B. Schoen (Autor) · Now Publishers Inc · Tapa Blanda

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Reseña del libro "Elements of Sequential Monte Carlo (Foundations and Trends (r) in Machine Learning) (en Inglés)"

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.