
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.
Page Count:
383
Publication Date:
2015-01-01
ISBN-10:
9814335452
ISBN-13:
9789814335454
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