Springer
Pattern Recognition with Support Vector Machines (English, Seong-Whan Lee | Alessandro Verri)
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Specifications
| Publisher | Springer |
| Language | English |
| ISBN-13 | 9783540440161 |
| ISBN-10 | 354044016X |
| Author | Seong-Whan Lee | Alessandro Verri |
Product Description
Here on GlowMirror, you'll find Pattern Recognition with Support Vector Machines filed under Springer -- everything you need to know is covered below.
About the Book
With their introduction in 1995, Support Vector Machines (SVMs) marked the beginningofanewerainthelearningfromexamplesparadigm.Rootedinthe Statistical Learning Theory developed by Vladimir Vapnik at AT&T, SVMs quickly gained attention from the pattern recognition community due to a n- beroftheoreticalandcomputationalmerits.Theseinclude, forexample, the simple geometrical interpretation of the margin, uniqueness of the solution, s- tistical robust…
ISBN: 9783540440161
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Pattern Recognition with Support Vector Machines
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Springer
Who Should Read This
Beginners and newcomers to the subject, as well as curious general readers.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Pattern Recognition with Support Vector Machines is available in English on GlowMirror.
Who is the author of Pattern Recognition with Support Vector Machines?
Pattern Recognition with Support Vector Machines is authored by Seong-Whan Lee | Alessandro Verri.
Who published Pattern Recognition with Support Vector Machines?
Pattern Recognition with Support Vector Machines is published by Springer.
How many pages does Pattern Recognition with Support Vector Machines have?
Page count information for Pattern Recognition with Support Vector Machines is available in the specifications section of this page.
How long does it take to read Pattern Recognition with Support Vector Machines?
At an average reading speed of 250 words per minute, reading Pattern Recognition with Support Vector Machines takes a few hours to a few days depending on reading pace.
What is Pattern Recognition with Support Vector Machines about?
About the Book
With their introduction in 1995, Support Vector Machines (SVMs) marked the beginningofanewerainthelearningfromexamplesparadigm.Rootedinthe Statistical Learning Theory developed by Vladimir Vapnik at AT&T, SVMs quickly gained attention from the pattern recognition community due to a ...
Is Pattern Recognition with Support Vector Machines suitable for beginners?
Whether Pattern Recognition with Support Vector Machines is suitable for beginners depends on your background in Springer. Review the product description and specifications above for details on the target audience and difficulty level.
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Pattern Recognition with Support Vector Machines is from the Springer edition/year. Check the specifications section for full edition details.
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