Description: Non-Standard Parameter Adaptation for Exploratory Data Analysis, Hardcover by Barbakh, Wesam Ashour; Wu, Ying; Fyfe, Colin, ISBN 3642040047, ISBN-13 9783642040047, Brand New, Free shipping in the US A review of standard algorithms provides the basis for more complex data mining techniques in this overview of exploratory data analysis. Recent reinforcement learning research is presented, as well as novel methods of parameter adaptation in machine learning.
Price: 125.81 USD
Location: Jessup, Maryland
End Time: 2024-11-25T22:55:22.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Non-Standard Parameter Adaptation for Exploratory Data Analysis
Number of Pages: Xi, 223 Pages
Language: English
Publication Name: Non-Standard Parameter Adaptation for Exploratory Data Analysis
Publisher: Springer Berlin / Heidelberg
Publication Year: 2009
Subject: Machine Theory, Probability & Statistics / General, Probability & Statistics / Multivariate Analysis, Intelligence (Ai) & Semantics, Databases / Data Mining
Type: Textbook
Item Weight: 40.2 Oz
Item Length: 9.3 in
Author: Ying Wu, Colin Fyfe, Wesam Ashour Barbakh
Subject Area: Mathematics, Computers
Series: Studies in Computational Intelligence Ser.
Item Width: 6.1 in
Format: Hardcover
