Description: Algebraic Geometry and Statistical Learning Theory by Sumio Watanabe Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Sure to be influential, this book lays the foundations for the use of algebraic geometry in statistical learning theory. Many widely used statistical models are singular: mixture models, neural networks, HMMs, and Bayesian networks are major examples. The theory achieved here underpins accurate estimation techniques in the presence of singularities. Publisher Description Sure to be influential, this book lays the foundations for the use of algebraic geometry in statistical learning theory. Many widely used statistical models and learning machines applied to information science have a parameter space that is singular: mixture models, neural networks, HMMs, Bayesian networks, and stochastic context-free grammars are major examples. Algebraic geometry and singularity theory provide the necessary tools for studying such non-smooth models. Four main formulas are established: 1. the log likelihood function can be given a common standard form using resolution of singularities, even applied to more complex models; 2. the asymptotic behaviour of the marginal likelihood or the evidence is derived based on zeta function theory; 3. new methods are derived to estimate the generalization errors in Bayes and Gibbs estimations from training errors; 4. the generalization errors of maximum likelihood and a posteriori methods are clarified by empirical process theory on algebraic varieties. Author Biography Sumio Watanabe is a Professor in the Precision and Intelligence Laboratory at the Tokyo Institute of Technology. Details ISBN 0521864674 ISBN-13 9780521864671 Title Algebraic Geometry and Statistical Learning Theory Author Sumio Watanabe Format Hardcover Year 2009 Pages 286 Publisher Cambridge University Press GE_Item_ID:23175620; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 111.7 USD
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End Time: 2024-07-31T13:30:31.000Z
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ISBN-13: 9780521864671
Book Title: Algebraic Geometry and Statistical Learning Theory
Number of Pages: 300 Pages
Language: English
Publication Name: Algebraic Geometry and Statistical Learning Theory
Publisher: Cambridge University Press
Publication Year: 2009
Subject: Geometry / Algebraic, Computer Vision & Pattern Recognition
Item Height: 0.8 in
Item Weight: 19.7 Oz
Type: Textbook
Subject Area: Computers, Mathematics
Author: Sumio Watanabe
Item Length: 9.2 in
Series: Cambridge Monographs on Applied and Computational Mathematics Ser.
Item Width: 6.1 in
Format: Hardcover