Algorithmic Learning in a Random World

Algorithmic Learning in a Random World
Author :
Publisher : Springer Science & Business Media
Total Pages : 344
Release :
ISBN-10 : 0387001522
ISBN-13 : 9780387001524
Rating : 4/5 (524 Downloads)

Book Synopsis Algorithmic Learning in a Random World by : Vladimir Vovk

Download or read book Algorithmic Learning in a Random World written by Vladimir Vovk and published by Springer Science & Business Media. This book was released on 2005-03-22 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov's algorithmic notion of randomness. Based on these approximations, a new set of machine learning algorithms have been developed that can be used to make predictions and to estimate their confidence and credibility in high-dimensional spaces under the usual assumption that the data are independent and identically distributed (assumption of randomness). Another aim of this unique monograph is to outline some limits of predictions: The approach based on algorithmic theory of randomness allows for the proof of impossibility of prediction in certain situations. The book describes how several important machine learning problems, such as density estimation in high-dimensional spaces, cannot be solved if the only assumption is randomness.


Algorithmic Learning in a Random World Related Books

Algorithmic Learning in a Random World
Language: en
Pages: 344
Authors: Vladimir Vovk
Categories: Computers
Type: BOOK - Published: 2005-03-22 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov's algorith
Conformal Prediction for Reliable Machine Learning
Language: en
Pages: 323
Authors: Vineeth Balasubramanian
Categories: Computers
Type: BOOK - Published: 2014-04-23 - Publisher: Newnes

DOWNLOAD EBOOK

The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a prediction in any rea
Algorithmic Learning in a Random World
Language: en
Pages: 0
Authors: Vladimir Vovk
Categories: Computers
Type: BOOK - Published: 2010-10-29 - Publisher: Springer

DOWNLOAD EBOOK

Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov's algorith
Understanding Machine Learning
Language: en
Pages: 415
Authors: Shai Shalev-Shwartz
Categories: Computers
Type: BOOK - Published: 2014-05-19 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei
The Master Algorithm
Language: en
Pages: 354
Authors: Pedro Domingos
Categories: Computers
Type: BOOK - Published: 2015-09-22 - Publisher: Basic Books

DOWNLOAD EBOOK

Recommended by Bill Gates A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our o