December 2012
Intermediate to advanced
407 pages
10h 18m
English
Content preview from Pattern Recognition and Machine Learning
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6
Learning Concepts
Keywords
concept
concept learning
simple concept
multiple concept
example
positive example
negative example
induction
background knowledge
generalization
specialization
partial order of generalization
MSC generalization
version space
conceptual clustering
attribute complex
This chapter will discuss algorithms for learning concepts from examples. Learning concepts is the most basic kind of learning on a computer, so we need to understand it fully. We will first give the definition of a concept and general methods of learning concepts and algorithms. We will then give algorithms for version space and concept clustering.
6.1 Definition of a Concept
(a) Extensional and intensional meanings
Words such as “a triangle,” “a ...
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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.