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Thomas B. Schoen - Elements of Sequential Monte Carlo - New Paperback - S9000z

Description: About this Item The item is a book Paperback The Author Name is Thomas B. Schoen The Title is Elements of Sequential Monte Carlo Condition New Other Comments Pages Count - 136. Binding type - Perfect. Content Language - English Category - COMPUTERS / Machine Theory Product Description - 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. We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details  are provided automatically  from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions.  The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling.   Gift IdeasThis is a  great Christmas gift idea.   Hours of ServiceWe have many warehouses,  some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 166006516

Price: 97.3 USD

Location: US

End Time: 2024-11-10T17:53:38.000Z

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Thomas B. Schoen - Elements of Sequential Monte Carlo - New Paperback - S9000z

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

Fiction/Non-Fiction: Non-Fiction

Genre/Subject: COMPUTERS / Machine Theory

Brand: Foundations and Trends (R) in Machine Learning

Weight: 0.2

Style: NA

Title: Elements of Sequential Monte Carlo

Release Title: Elements of Sequential Monte Carlo

Record Grading: New

Sleeve Grading: New

Platform: NA

Size: NA

Film/TV Title: Elements of Sequential Monte Carlo

Colour: NA

Material: NA

Department: NA

Movie/TV Title: Elements of Sequential Monte Carlo

UPC: 9781680836325

EAN: 9781680836325

ISBN: 9781680836325

Binding Type: Perfect

Item Height: 7.37

Main Stone: NA

Metal Purity: NA

Metal: NA

Connectivity: NA

Model: NA

Number of Pages: 134 Pages

Language: English

Publication Name: Elements of Sequential Monte Carlo

Publisher: Now Publishers

Subject: Machine Theory

Publication Year: 2019

Type: Textbook

Item Weight: 7.1 Oz

Subject Area: Computers

Item Length: 9.2 in

Author: Fredrik Lindsten, Christian A. Naesseth, Thomas B. schön

Item Width: 6.1 in

Series: Foundations and Trends in Machine Learning Ser.

Format: Trade Paperback

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