Statistical learning theory
Vladimir Naumovich Vapnik
Reading Time
at 250 WPM12h 16m
The average reader, reading at a speed of 250 WPM, would take 12h 16m to read Statistical learning theory.
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25
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736
total minutes
Statistical learning theory
Published
1998
Publisher
Wiley
Pages
736
ISBN-10
0471030031
Description
A comprehensive look at learning and generalization theory. The statistical theory of learning and generalization concerns the problem of choosing desired functions on the basis of empirical data. Highly applicable to a variety of computer science and robotics fields, this book offers lucid coverage of the theory as a whole. Presenting a method for determining the necessary and sufficient conditions for consistency of learning process, the author covers function estimates from small data pools, applying these estimations to real-life problems, and much more.
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Frequently Asked Questions
How many pages are in Statistical learning theory?
This edition of Statistical learning theory has approximately 736 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Statistical learning theory?
For most readers, Statistical learning theory typically takes between 15h 20m and 10h 13m to complete. This is based on the book's length of approximately 184,000 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 12h 16m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 25 days • Estimated word count: 184,000 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Statistical learning theory?
The estimated word count for Statistical learning theory is approximately 184,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Statistical learning theory?
Statistical learning theory was written by Vladimir Naumovich Vapnik.
When was Statistical learning theory published?
The publication date for this specific edition is 1998. The original work may have been published on a different date.