Buch, Englisch, 263 Seiten, Format (B × H): 176 mm x 243 mm, Gewicht: 531 g
An Algorithmic Approach
Buch, Englisch, 263 Seiten, Format (B × H): 176 mm x 243 mm, Gewicht: 531 g
Reihe: Undergraduate Topics in Computer Science
ISBN: 978-0-85729-494-4
Verlag: Springer
Observing the environment and recognising patterns for the purpose of decision making is fundamental to human nature. This book deals with the scientific discipline that enables similar perception in machines through pattern recognition (PR), which has application in diverse technology areas. This book is an exposition of principal topics in PR using an algorithmic approach. It provides a thorough introduction to the concepts of PR and a systematic account of the major topics in PR besides reviewing the vast progress made in the field in recent times. It includes basic techniques of PR, neural networks, support vector machines and decision trees. While theoretical aspects have been given due coverage, the emphasis is more on the practical. The book is replete with examples and illustrations and includes chapter-end exercises. It is designed to meet the needs of senior undergraduate and postgraduate students of computer science and allied disciplines.
Zielgruppe
Upper undergraduate
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
Weitere Infos & Material
Introduction.- Representation.- Nearest Neighbour Based Classifiers.- Bayes Classifier.- Hidden Markov Models.- Decision Trees.- Support Vector Machines.- Combination of Classifiers.- Clustering.- Summary.- An Application: Handwritten Digit Recognition.
