COLT 89 is popular PDF and ePub book, written by COLT in 2014-06-28, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, COLT 89 can be Read Online from any device for your convenience.
COLT 89 Book PDF Summary
Computational Learning Theory presents the theoretical issues in machine learning and computational models of learning. This book covers a wide range of problems in concept learning, inductive inference, and pattern recognition. Organized into three parts encompassing 32 chapters, this book begins with an overview of the inductive principle based on weak convergence of probability measures. This text then examines the framework for constructing learning algorithms. Other chapters consider the formal theory of learning, which is learning in the sense of improving computational efficiency as opposed to concept learning. This book discusses as well the informed parsimonious (IP) inference that generalizes the compatibility and weighted parsimony techniques, which are most commonly applied in biology. The final chapter deals with the construction of prediction algorithms in a situation in which a learner faces a sequence of trials, with a prediction to be given in each and the goal of the learner is to make some mistakes. This book is a valuable resource for students and teachers.
Detail Book of COLT 89 PDF
- Author : COLT
- Release : 28 June 2014
- Publisher : Morgan Kaufmann
- ISBN : 9780080948294
- Genre : Computers
- Total Page : 397 pages
- Language : English
- PDF File Size : 9,8 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book COLT 89 by COLT, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.