Published October 30, 1998
by Springer .
Written in English
Edition Notes
Contributions | Michael M. Richter (Editor), Carl H. Smith (Editor), Rolf Wiehagen (Editor), Thomas Zeugmann (Editor) |
The Physical Object | |
---|---|
Format | Paperback |
Number of Pages | 438 |
ID Numbers | |
Open Library | OL9062755M |
ISBN 10 | 354065013X |
ISBN 10 | 9783540650133 |
This book constitutes the proceedings of the 25th International Conference on Algorithmic Learning Theory, ALT , held in Bled, Slovenia, in October , and co-located with the 17th International Conference on Discovery Science, DS The 21 papers presented in this volume were carefully reviewed and selected from 50 submissions. This book constitutes the proceedings of the 26th International Conference on Algorithmic Learning Theory, ALT , held in Banff, AB, Canada, in October , and co-located with the 18th International Conference on Discovery Science, DS Mar 14, · The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into /5(33). The 29th International Conference on Algorithmic Learning Theory (ALT) will be held at Lanzarote, Spain, on April , Program Committee Chairs: Mehryar Mohri (Courant Institute of Mathematical Sciences and Google Research) Karthik Sridharan (Cornell University).
Algorithmic Game Theory Over the last few years, there has been explosive growth in the research done at the in-terface of computer science, game theory, and economic theory, largely motivated by the emergence of the Internet. Algorithmic Game Theory develops the central ideas and results of this new and exciting area. This book constitutes the proceedings of the 25th International Conference on Algorithmic Learning Theory, ALT , held in Bled, Slovenia, in October , and co-located with the 17th International Conference on Discovery Science, DS The 21 papers presented in this volume were carefully. Introduction to Algorithmic Marketing is a comprehensive guide to advanced marketing automation for marketing strategists, data scientists, product managers, and software engineers. It summarizes various techniques tested by major technology, advertising, and retail companies, and it glues these methods together with economic theory and machine learning. This is the first book to collect essays from philosophers, mathematicians and computer scientists working at the exciting interface of algorithmic learning theory and the epistemology of science and inductive inference.
Book Description Springer-Verlag Gmbh Mrz , Buch. Condition: Neu. Neuware - Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov's algorithmic notion of randomness.5/5(2). Algorithmic Learning Theory: 27th International Conference 1st Edition Read & Download - By Ronald Ortner,Hans Ulrich Simon Algorithmic Learning Theory: 27th International Conference This book constitutes the refereed proceedings of the 27th International Conference on Algorithmi - Read Online Books at tonyasgaapartments.com This workshop was intended to stimulate discussions on algorithmic learning theory. Topics covered in the papers selected in this book include neural networks, inductive inference, analogical Read more. This book constitutes the proceedings of the 24th International Conference on Algorithmic Learning Theory, ALT , held in Singapore in October , and co-located with the 16th International Conference on Discovery Science, DS The 23 papers presented in this volume were carefully reviewed and selected from 39 submissions.