
Introduction To Pattern Recognition And Machine Learning
World Scientific Publishing Co Pte Ltd
Published on 16. June 2015
Book
Hardback
404 pages
978-981-4335-45-4 (ISBN)
Description
This book adopts a detailed and methodological algorithmic approach to explain the concepts of pattern recognition. While the text provides a systematic account of its major topics such as pattern representation and nearest neighbour based classifiers, current topics - neural networks, support vector machines and decision trees - attributed to the recent vast progress in this field are also dealt with. Introduction to Pattern Recognition and Machine Learning will equip readers, especially senior computer science undergraduates, with a deeper understanding of the subject matter.
More details
Series
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Academics and working professionals in computer science.
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 26 mm
Weight
731 gr
ISBN-13
978-981-4335-45-4 (9789814335454)
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Schweitzer Classification
Persons
Author
Indian Inst Of Science, India
Indian Inst Of Science, India
Content
Introduction; Representation; Nearest Neighbour Based Classifiers; Bayes Classifier; Decision Trees; Support Vector Machines; Combination of Classifiers; Clustering; Application: Handwritten Digit Recognition; Summary and Conclusions.