December 2012
Intermediate to advanced
407 pages
10h 18m
English
Content preview from Pattern Recognition and Machine Learning
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7
Learning Procedures
KEYWORDS
procedure
problem solving
triangular table
learning of operators
theorem proving
macro-operator
production system
learning of production rules
generalization
specialization
common generalization
maximal common generalization
paired-associate learning
indexing
learning of programs
bugs
generating programs
goal regression
In this chapter we will explain methods of learning procedures for transforming information, such as operators in problem solving, production rules, and computer programs. Representations of these procedures not only are more complex than those of concepts but also have a deep relation to inference methods. Therefore, learning procedures require different methods than learning concepts. In this ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.