Measures of Complexity: Festschrift for Alexey Chervonenkis - Image 1

£76.30

Springer Measures of Complexity: Festschrift for Alexey Chervonenkis

Name: Measures of Complexity: Festschrift for Alexey Chervonenkis
Brand: Springer
Price: 76.3 GBP
Availability: InStock

AI & Machine Learning

Price History & Forecast

Last 19 days • 19 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 19 days • 1 price levels

Days at Price

Price Analysis

Most common price: £76 (19 days, 100.0%)

Price range: £76 - £76

Price levels: 1 different prices over 19 days

Description

This book brings together historical notes, reviews of research developments, fresh ideas on how to make VC (Vapnik–Chervonenkis) guarantees tighter, and new technical contributions in the areas of machine learning, statistical inference, classification, algorithmic statistics, and pattern recognition. The contributors are leading scientists in domains such as statistics, mathematics, and theoretical computer science, and the book will be of interest to researchers and graduate students in these domains.

Product Specifications

Brand: Springer
Format: Hardcover
ASIN: 3319218514
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 14 September 2015
Listed Since: 16 June 2015

Barcode

No barcode data available

Springer Measures of Complexity: Festschrift for Alexey Chervonenkis

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Computability and Complexity Theory (Texts in Computer Science)

Computer Science – Theory and Applications: 13th International Computer Science Symposium in Russia, CSR 2018, Moscow, Russia, June 6–10, 2018, ... (Lecture Notes in Computer Science, 10846)

The Complexity Theory Companion (Texts in Theoretical Computer Science. An EATCS Series)

Aspects of Complexity: Minicourses in Algorithmics, Complexity and Computational Algebra. Mathematics Workshop, Kaikoura, January 7-15, 2000: 4 (De Gruyter Series in Logic & its Applications, 4)

Proceedings of ECCS 2014: European Conference on Complex Systems (Springer Proceedings in Complexity)

Numbers, Information and Complexity

Mathematical Foundations of Computer Science 2003: 28th International Symposium, MFCS 2003, Bratislava, Slovakia, August 25-29, 2003, Proceedings: 2747 (Lecture Notes in Computer Science, 2747)

Handbook of Research on Complexity

Parameterized Complexity (Monographs in Computer Science)

Modern Mathematical Tools and Techniques in Capturing Complexity (Understanding Complex Systems)

Algorithms and Complexity: 11th International Conference, CIAC 2019, Rome, Italy, May 27–29, 2019, Proceedings: 11485 (Lecture Notes in Computer Science, 11485)

First Complex Systems Digital Campus World E-Conference 2015 (Springer Proceedings in Complexity)

Principles of Complexity Economics: Concepts, Methods and Applications (Classroom Companion: Economics)

Complexity, Science and Society

Foundations Of Complex Systems: Nonlinear Dynamics, Statistical Physics, Information And Prediction

Structural Complexity II: 22 (Monographs in Theoretical Computer Science. An EATCS Series, 22)

Computing and Combinatorics: 7th Annual International Conference, COCOON 2001, Guilin, China, August 20-23, 2001, Proceedings: 2108 (Lecture Notes in Computer Science, 2108)

Proceedings of the Tenth International Conference on Mathematics and Computing: ICMC 2024, Volume 1: 964 (Lecture Notes in Networks and Systems, 964)

Descriptive Complexity (Texts in Computer Science)

Fundamentals of Parameterized Complexity (Texts in Computer Science)

Complexity Science - An Introduction

Complexity and Emergence: Lake Como School of Advanced Studies, Italy, July 22–27, 2018: 383 (Springer Proceedings in Mathematics & Statistics, 383)

Complex Systems and Evolutionary Perspectives on Organisations: The Application of Complexity Theory to Organisations: 4 (Advanced Series in Management, 4)

Computational Complexity: A Modern Approach