Introduction to pattern recognition and machine learning
著者
書誌事項
Introduction to pattern recognition and machine learning
（IISc lecture notes series, 5）
World Scientific, c2015
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内容説明・目次
内容説明
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.
目次
- Introduction
- Representation
- Nearest Neighbour Based Classifiers
- Bayes Classifier
- Decision Trees
- Support Vector Machines
- Combination of Classifiers
- Clustering
- Application: Handwritten Digit Recognition
- Summary and Conclusions.
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