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LINK . SPRINGER . COM {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Link.springer.com Make Money
  6. Keywords
  7. Topics
  8. Questions
  9. Schema
  10. External Links
  11. Analytics And Tracking
  12. Libraries
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We are analyzing https://link.springer.com/book/10.1007/978-1-4757-2440-0.

Title:
The Nature of Statistical Learning Theory | SpringerLink
Description:
The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning from the general point of view of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. These include: - the general setting of learning problems and the general model of minimizing the risk functional from empirical data - a comprehensive analysis of the empirical risk minimization principle and shows how this allows for the construction of necessary and sufficient conditions for consistency - non-asymptotic bounds for the risk achieved using the empirical risk minimization principle - principles for controlling the generalization ability of learning machines using small sample sizes - introducing a new type of universal learning machine that controls the generalization ability.
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {πŸ“š}

  • Science
  • Virtual Reality
  • Technology & Computing

Content Management System {πŸ“}

What CMS is link.springer.com built with?

Custom-built

No common CMS systems were detected on Link.springer.com, and no known web development framework was identified.

Traffic Estimate {πŸ“ˆ}

What is the average monthly size of link.springer.com audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month


Based on our best estimate, this website will receive around 5,000,019 visitors per month in the current month.
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How Does Link.springer.com Make Money? {πŸ’Έ}

We don’t know how the website earns money.

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Keywords {πŸ”}

learning, book, vapnik, vladimir, pages, theory, information, search, privacy, cookies, content, data, publish, general, empirical, ebook, research, nature, statistical, accessibility, access, generalization, risk, processes, function, log, journal, edition, problems, statistics, functional, controlling, ability, chapter, download, pdf, back, usa, springer, number, make, optional, analysis, media, personal, parties, policy, main, find, track,

Topics {βœ’οΈ}

statistical theory general model learning theory function estimation based risk functional universal learning machine generalizing deep learning learning problem vladimir learning processes vladimir construction convergence device instant download privacy choices/manage cookies interesting book helps learning problems function controlling considers learning learning machines efficient learning empirical modeling realm usa authors european economic area statistics general setting pdf read social media general point physics-based problems conditions privacy policy accepting optional cookies journal finder publish learning view book log general vapnik doihttps privacy policy empirical data empirical data books a personal data check access risk achieved top access access licence optional cookies information manage preferences author concentrates

Questions {❓}

  • Conclusion: What is Important in Learning Theory?

Schema {πŸ—ΊοΈ}

Book:
      image:https://media.springernature.com/w153/springer-static/cover/book/978-1-4757-2440-0
      genre:
         Mathematics and Statistics
         Mathematics and Statistics (R0)
      publisher:
         name:Springer New York
         logo:
            url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
            type:ImageObject
         type:Organization
      author:
            name:Vladimir N. Vapnik
            affiliation:
                  name:
                  address:
                     name:AT&T Bell Laboratories, Holmdel, USA
                     type:PostalAddress
                  type:Organization
            type:Person
      keywords:Statistica, algorithms, boundary element method, construction, controlling, convergence, function, functional, learning, learning algorithm, learning theory, model, proof, statistical theory, statistics
      description:The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning from the general point of view of function estima
      copyrightYear:1995
      name:The Nature of Statistical Learning Theory
      numberOfPages:15
      isbn:978-1-4757-2440-0
      copyrightHolder:
         name:Springer Science+Business Media New York
         type:Organization
      context:https://schema.org
Organization:
      name:Springer New York
      logo:
         url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
         type:ImageObject
      name:
      address:
         name:AT&T Bell Laboratories, Holmdel, USA
         type:PostalAddress
      name:Springer Science+Business Media New York
ImageObject:
      url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
Person:
      name:Vladimir N. Vapnik
      affiliation:
            name:
            address:
               name:AT&T Bell Laboratories, Holmdel, USA
               type:PostalAddress
            type:Organization
PostalAddress:
      name:AT&T Bell Laboratories, Holmdel, USA
["Product","Book"]:
      context:https://schema.org
      url:https://link.springer.com/book/10.1007/978-1-4757-2440-0
      name:The Nature of Statistical Learning Theory (eBook)
      isbn:978-1-4757-2440-0
      bookFormat:EBook
      offers:
         type:Offer
         price:74.99
         priceCurrency:USD
         availability:https://schema.org/InStock
         url:https://link.springer.com/book/10.1007/978-1-4757-2440-0
      context:https://schema.org
      url:https://link.springer.com/book/10.1007/978-1-4757-2440-0
      name:The Nature of Statistical Learning Theory (eBook)
      isbn:978-1-4757-2440-0
      bookFormat:EBook
      offers:
         type:Offer
         price:74.99
         priceCurrency:USD
         availability:https://schema.org/InStock
         url:https://link.springer.com/book/10.1007/978-1-4757-2440-0
Offer:
      price:74.99
      priceCurrency:USD
      availability:https://schema.org/InStock
      url:https://link.springer.com/book/10.1007/978-1-4757-2440-0
      price:74.99
      priceCurrency:USD
      availability:https://schema.org/InStock
      url:https://link.springer.com/book/10.1007/978-1-4757-2440-0

External Links {πŸ”—}(27)

Analytics and Tracking {πŸ“Š}

  • Google Tag Manager

Libraries {πŸ“š}

  • Clipboard.js
  • Lightbox

CDN Services {πŸ“¦}

  • Pbgrd

3.8s.