Algorithmic Learning Theory
24th International Conference, ALT 2013, Singapore, October 6-9, 2013, Proceedings
Our rough guess is there are 103,750 words in this book.
At a pace averaging 250 words per minute, this book will take 6 hours and 55 minutes to read. With a half hour per day, this will take 14 days to read.
How long will it take you?
This book will take an estimated to read at a reading speed averaging words per minute. With 30 minutes per day, this will take to read.
Enter your reading speedYou can take one of our WPM reading speed tests to find your reading speed.
Create a free account to track your reading progress, build your reading list, and set reading goals.
Publication
2013-09-11 - Springer
Word Count
103,750 words, Guess
Page Count
415 pages
Physical Format
Paperback
Identifiers
- Open LibraryOL28158143M
- ISBN-139783642409349
- ISBN-103642409342
Classifications
- LCCQA75.5-76.95
Description
This book constitutes the proceedings of the 25th International Conference on Algorithmic Learning Theory, ALT 2014, held in Bled, Slovenia, in October 2014, and co-located with the 17th International Conference on Discovery Science, DS 2014. The 21 papers presented in this volume were carefully reviewed and selected from 50 submissions. In addition the book contains 4 full papers summarizing the invited talks. The papers are organized in topical sections named: inductive inference; exact learning from queries; reinforcement learning; online learning and learning with bandit information; statistical learning theory; privacy, clustering, MDL, and Kolmogorov complexity.
Description
This book constitutes the proceedings of the 24th International Conference on Algorithmic Learning Theory, ALT 2013, held in Singapore in October 2013, and co-located with the 16th International Conference on Discovery Science, DS 2013. The 23 papers presented in this volume were carefully reviewed and selected from 39 submissions. In addition the book contains 3 full papers of invited talks. The papers are organized in topical sections named: online learning, inductive inference and grammatical inference, teaching and learning from queries, bandit theory, statistical learning theory, Bayesian/stochastic learning, and unsupervised/semi-supervised learning.
Subjects
Topics
Other Editions
- Algorithmic Learning Theory: 24th International Conference, ALT 2013, Singapore, October 6-9, 2013, Proceedings
Similar Books
Membrane Computing: 15th International Conference, CMC 2014, Prague, Czech Republic, August 20-22, 2014, Revised Selected Papers
Arto Salomaa, Marian Gheorghe, Claudio Zandron, Grzegorz Rozenberg, Petr Sosík
Logical Foundations of Computer Science: International Symposium, LFCS 2013, San Diego, CA, USA, January 6-8, 2013. Proceedings
edited by Sergei Artemov, Anil Nerode
Neural Information Processing
Tingwen Huang, Zhigang Zeng, Chuandong Li, Chi Sing Leung
Neural Information Processing: 20th International Conference, ICONIP 2013, Daegu, Korea, November 3-7, 2013. Proceedings, Part III
Minho Lee, Zeng-Guang Hou, Rhee Man Kil, Akira Hirose
Swarm, Evolutionary, and Memetic Computing: Third International Conference, SEMCCO 2012, Bhubaneswar, India, December 20-22, 2012, Proceedings
Bijaya Ketan Panigrahi, Pradipta Kumar Nanda, Ponnuthurai Nagaratnam Suganthan, Swagatam Das
Artificial General Intelligence: 5th International Conference, AGI 2012, Oxford, UK, December 8-11, 2012. Proceedings
Cassio Pennachin, Ben Goertzel, Matthew Iklé, Joscha Bach
Relational and Algebraic Methods in Computer Science: 14th International Conference, RAMiCS 2014, Marienstatt, Germany, April 28 -- May 1, 2014, Proceedings
Peter Jipsen, Michael Winter, Uli Fahrenberg, Peter Höfner, Martin Eric Müller, Wolfram Kahl
Scale Space and Variational Methods in Computer Vision: 4th International Conference, SSVM 2013, Schloss Seggau, Leibnitz, Austria, June 2-6, 2013. Proceedings
edited by Arjan Kuijper, Kristian Bredies, Thomas Pock, Horst Bischof
Reader Reviews
No reviews yet for this book.
Be the first to share your thoughts!