Algorithmic Learning Theory
Nader H. Bshouty
Reading Time
at 250 WPM6h 33m
The average reader, reading at a speed of 250 WPM, would take 6h 33m to read Algorithmic Learning Theory.
Personalise your estimate by entering your reading speed below
Test my reading speedEnter speed in words per minute
14
days at 30 min/day
393
total minutes
Algorithmic Learning Theory
Published
Sep 15, 2012
Publisher
Springer
Pages
393
ISBN-13
9783642341052
ISBN-10
3642341055
Description
This book constitutes the refereed proceedings of the 23rd International Conference on Algorithmic Learning Theory, ALT 2012, held in Lyon, France, in October 2012. The conference was co-located and held in parallel with the 15th International Conference on Discovery Science, DS 2012. The 23 full papers and 5 invited talks presented were carefully reviewed and selected from 47 submissions. The papers are organized in topical sections on inductive inference, teaching and PAC learning, statistical learning theory and classification, relations between models and data, bandit problems, online prediction of individual sequences, and other models of online learning.
Subjects
Reachability Problems
Artificial general intelligence
Logical Foundations of Computer Science
Grammatical Inference
Language and Automata Theory and Applications
Logica Universalis
Frequently Asked Questions
How many pages are in Algorithmic Learning Theory?
This edition of Algorithmic Learning Theory has approximately 393 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Algorithmic Learning Theory?
For most readers, Algorithmic Learning Theory typically takes between 8h 11m and 5h 28m to complete. This is based on the book's length of approximately 98,250 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 6h 33m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 14 days • Estimated word count: 98,250 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Algorithmic Learning Theory?
The estimated word count for Algorithmic Learning Theory is approximately 98,250 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Algorithmic Learning Theory?
Algorithmic Learning Theory was written by Nader H. Bshouty.
When was Algorithmic Learning Theory published?
The publication date for this specific edition is Sep 15, 2012. The original work may have been published on a different date.