Algorithmic Learning in a Random World

By: Vladimir Vovk, Alex Gammerman, Glenn Shafer

Write A Review

Hardcover | 1 April 2005

At a Glance

Hardcover
344 Pages

Dimensions(cm)
23.5 x 15.88 x 1.91

New Edition

Published: 14th December 2022

Hardcover

$259.75

or 4 interest-free payments of $64.94 with

Ships in 5 to 7 business days

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.

Industry Reviews

From the reviews:

"Algorithmic Learning in a Random World has ten chapters, three appendices, and extensive references. Each chapter ends with a section containing comments, historical discussion, and bibliographical remarks. ... The material is developed well and reasonably easy to follow ... . the text is very readable. ... is doubtless an important reference summarizing a large body of work by the authors and their graduate students. Academics involved with new implementations and empirical studies of machine learning techniques may find it useful too." (James Law, SIGACT News, Vol. 37 (4), 2006)

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $89.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.

Defective items

If there is a problem with any of the items received for your order then the Booktopia Customer Care team is ready to assist you.

For more info please visit our Help Centre.

You Can Find This Book In

Non-Fiction Mathematics Algebra Probability & Statistics Computing & I.T.Computer Science Artificial Intelligence Machine Learning Computer Programming & Software Development Algorithms & Data Structures Business Applications Mathematical & Statistical Software

Reference, Information & Interdisciplinary Subjects Research & Information Information theory Computer Security Data Encryption Databases

Preface
List of Principal results
Introduction
Conformal prediction
Classification with conformal predictors
Modifications of conformal predictors
Probabilistic prediction
impossibility results
Probabilistic prediction
Venn predictors
Beyond exchangeability
On-line compression modeling
conformal prediction
On-line compression modeling
Venn prediction
Perspectives and contrasts
Probability theory
Data sets
FAQ
Notation
References
Index
Table of Contents provided by Publisher. All Rights Reserved.

Algorithmic Learning in a Random World

At a Glance

New Edition

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

You Can Find This Book In

More in Information theory

Psycho-Cybernetics (Updated and Expanded)

Psycho-cybernetics

Novel Sensing for Robotics and Drones

Smart Sensors, Measurement and Instrumentation

The Black Swan

The Impact of the Highly Improbable

Psycho-Cybernetics 365

Thrive and Grow Every Day of the Year

Nexus

A Brief History of Information Networks from the Stone Age to AI

The Laws of Thought

The Quest for a Mathematical Theory of the Mind

Thinking in Systems

A Primer

The Infinite Alphabet

And the Laws of Knowledge

Effective Machine Learning Teams

Best Practices for ML Practitioners

How to Prove It

A Structured Approach

This Is Chaos: Embracing the Future of Magic

15 Essays on Chaos Magic for Modern Practitioners

Handbook of Systems Thinking Methods

Intelligent Manufacturing Systems

Digitalization of Industrial Production

Leveraging Computer Vision to Biometric Applications

Chapman & Hall/Distributed Computing and Intelligent Data Analytics Series

Quantum Artificial Intelligence

Technologies, Algorithms and Programming

Handbook of Intelligent Robots

Theory, Methods and Applications

An Introduction to Systems Biology

Design Principles of Biological Circuits

Generative AI and Stochastic Thermodynamics

A Tale of Free Energies

Generative AI and Stochastic Thermodynamics

A Tale of Free Energies

Modern Statistical Methods and Theory

An Introduction to Nonparametric and High-Dimensional Statistics

Internet of Things and Its Applications

Select Proceedings of ICIA 2024

Proceedings of the 3rd International Conference on Mechanical System Dynamics, Volume 2

ICMSD2025

Signal Processing, Telecommunication & Embedded Systems: Automation and Sustainability Applications

Proceedings of Tenth International Conference on Microelectronics Electromagnetics and Telecommunications (ICMEET 2025), Volume 4

Evolution in Signal Processing and Telecommunication Networks

Proceedings of Tenth International Conference on Microelectronics Electromagnetics and Telecommunications (ICMEET 2025), Volume 2

This product is categorised by