Demand-Driven Associative Classification

Nonfiction, Computers, Database Management, Application Software, General Computing
Cover of the book Demand-Driven Associative Classification by Adriano Veloso, Wagner Meira Jr., Springer London
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Adriano Veloso, Wagner Meira Jr. ISBN: 9780857295255
Publisher: Springer London Publication: May 18, 2011
Imprint: Springer Language: English
Author: Adriano Veloso, Wagner Meira Jr.
ISBN: 9780857295255
Publisher: Springer London
Publication: May 18, 2011
Imprint: Springer
Language: English

The ultimate goal of machines is to help humans to solve problems.
Such problems range between two extremes: structured problems for which the solution is totally defined (and thus are easily programmed by humans), and random problems for which the solution is completely undefined (and thus cannot be programmed). Problems in the vast middle ground have solutions that cannot be well defined and are, thus, inherently hard to program. Machine Learning is the way to handle this vast middle ground, so that many tedious and difficult hand-coding tasks would be replaced by automatic learning methods. There are several machine learning tasks, and this work is focused on a major one, which is known as classification. Some classification problems are hard to solve, but we show that they can be decomposed into much simpler sub-problems. We also show that independently solving these sub-problems by taking into account their particular demands, often leads to improved classification performance.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

The ultimate goal of machines is to help humans to solve problems.
Such problems range between two extremes: structured problems for which the solution is totally defined (and thus are easily programmed by humans), and random problems for which the solution is completely undefined (and thus cannot be programmed). Problems in the vast middle ground have solutions that cannot be well defined and are, thus, inherently hard to program. Machine Learning is the way to handle this vast middle ground, so that many tedious and difficult hand-coding tasks would be replaced by automatic learning methods. There are several machine learning tasks, and this work is focused on a major one, which is known as classification. Some classification problems are hard to solve, but we show that they can be decomposed into much simpler sub-problems. We also show that independently solving these sub-problems by taking into account their particular demands, often leads to improved classification performance.

More books from Springer London

Cover of the book Atlas of Anatomic Pathology with Imaging by Adriano Veloso, Wagner Meira Jr.
Cover of the book International Advances in Foot and Ankle Surgery by Adriano Veloso, Wagner Meira Jr.
Cover of the book Tumours in Urology by Adriano Veloso, Wagner Meira Jr.
Cover of the book Unmanned Rotorcraft Systems by Adriano Veloso, Wagner Meira Jr.
Cover of the book Minimally Invasive Forefoot Surgery in Clinical Practice by Adriano Veloso, Wagner Meira Jr.
Cover of the book Design of Demining Machines by Adriano Veloso, Wagner Meira Jr.
Cover of the book Rheumatology by Adriano Veloso, Wagner Meira Jr.
Cover of the book Pruritus by Adriano Veloso, Wagner Meira Jr.
Cover of the book Vector Control of Induction Machines by Adriano Veloso, Wagner Meira Jr.
Cover of the book Introduction to Software Process Improvement by Adriano Veloso, Wagner Meira Jr.
Cover of the book Generalized Dermatitis in Clinical Practice by Adriano Veloso, Wagner Meira Jr.
Cover of the book Risk Theory and Reinsurance by Adriano Veloso, Wagner Meira Jr.
Cover of the book Biologically Inspired Design by Adriano Veloso, Wagner Meira Jr.
Cover of the book Atlas of Pediatric Cardiac Surgery by Adriano Veloso, Wagner Meira Jr.
Cover of the book Transfusion Medicine by Adriano Veloso, Wagner Meira Jr.
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy