Part1 chapter3

From Ontology Learning

Jump to: navigation, search
Introducing Machine Learning
Authors Agnieszka ŁAWRYNOWICZ and Volker TRESP
Part Foundations
Topics Machine Learning
Projects DL-Learner
Download []
Rdf.gif RDF Export

Introducing Machine Learning

The chapter "Introducing Machine Learning" was written by Agnieszka ŁAWRYNOWICZ and Volker TRESP.

Abstract

In this chapter we provide an overview on some of the main issues in machine learning.We discuss machine learning both from a formal and a statistical perspective. We describe some aspects of machine learning such as concept learning, support vector machines, and graphical models in more detail.We also present example machine learning applications to the Semantic Web.

Topics / Key Words

Machine Learning


back to book website


Facts about Part1 chapter3RDF feed
AbstractIn this chapter we provide an overview on In this chapter we provide an overview on some of the main issues in machine learning.We discuss machine learning both from a formal and a statistical

perspective. We describe some aspects of machine learning such as concept learning, support vector machines, and graphical models in more detail.We also present

example machine learning applications to the Semantic Web.
learning applications to the Semantic Web.
AuthorAgnieszka ŁAWRYNOWICZ and Volker TRESP  +
Book part titleFoundations  +
Chapter titleIntroducing Machine Learning  +
ProjectsDL-Learner  +
TopicsMachine Learning  +
Personal tools
Namespaces
Variants
Actions
Navigation
browse data
create data
Toolbox