Description: About this Item The item is a book Paperback The Author Name is Takafumi Kanamori The Title is Density Ratio Estimation in Machine Learning Condition New Other Comments Pages Count - 342. Binding type - Perfect. Content Language - English Category - COMPUTERS / Artificial Intelligence / Computer Vision & Patt Product Description - Machine learning is an interdisciplinary field of science and engineering that studies mathematical theories and practical applications of systems that learn. This book introduces theories, methods and applications of density ratio estimation, which is a newly emerging paradigm in the machine learning community. Various machine learning problems such as non-stationarity adaptation, outlier detection, dimensionality reduction, independent component analysis, clustering, classification and conditional density estimation can be systematically solved via the estimation of probability density ratios. The authors offer a comprehensive introduction of various density ratio estimators including methods via density estimation, moment matching, probabilistic classification, density fitting and density ratio fitting, as well as describing how these can be applied to machine learning. The book provides mathematical theories for density ratio estimation including parametric and non-parametric convergence analysis and numerical stability analysis to complete the first and definitive treatment of the entire framework of density ratio estimation in machine learning. 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 165521548
Price: 60.31 USD
Location: US
End Time: 2024-12-10T15:55:49.000Z
Shipping Cost: 0 USD
Product Images
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 / Artificial Intelligence / Computer Vision Patt
Brand: Cambridge University Press
Weight: 0.48
Style: NA
Title: Density Ratio Estimation in Machine Learning
Release Title: Density Ratio Estimation in Machine Learning
Record Grading: New
Sleeve Grading: New
Platform: NA
Size: NA
Film/TV Title: Density Ratio Estimation in Machine Learning
Colour: NA
Material: NA
Department: NA
Movie/TV Title: Density Ratio Estimation in Machine Learning
UPC: 9781108461733
EAN: 9781108461733
ISBN: 9781108461733
Binding Type: Perfect
Main Stone: NA
Metal Purity: NA
Metal: NA
Connectivity: NA
Model: NA
Number of Pages: 341 Pages
Language: English
Publication Name: Density Ratio Estimation in Machine Learning
Publisher: Cambridge University Press
Publication Year: 2018
Subject: Probability & Statistics / Stochastic Processes, Computer Vision & Pattern Recognition
Item Height: 0.7 in
Type: Textbook
Item Weight: 19.4 Oz
Item Length: 9.1 in
Subject Area: Mathematics, Computers
Author: Takafumi Kanamori, Masashi Sugiyama, Taiji Suzuki
Item Width: 6 in
Format: Trade Paperback
