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Harman, Gilbert

An Introduction to Elementary Statistical Learning Theory

Harman, Gilbert - An Introduction to Elementary Statistical Learning Theory, e-kirja

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Tulostus86 sivua ja lisä sivu kertyy joka 9. tunti, ylärajana 86 sivua
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A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Introduction to Statistical Learning Theory provides a broad and accessible introduction to rapidly evolving field of statistical pattern recognition and statistical learning theory. Exploring topics that are not often covered in introductory level books on statistical learning theory, including PAC learning, VC dimension, and simplicity, the authors present upper-undergraduate and graduate levels with the basic theory behind contemporary machine learning and uniquely suggest it serves as an excellent framework for philosophical thinking about inductive inference.

Tekijä(t)
 
Julkaisija
John Wiley and Sons, Inc.
Julkaisuvuosi
2011
Kieli
en
Painos
1
Sarja
Wiley Series in Probability and Statistics
Sivumäärä
288 sivua
Kategoria
Eksaktit luonnontieteet
Tiedostomuoto
E-kirja
eISBN (ePUB)
9781118023464
Painetun ISBN
9780470641835

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