Machine Learning Books

New and Published Books

1. Handbook on Soft Computing for Video Surveillance

   Edited by Sankar K. Pal, Alfredo Petrosino, Lucia Maddalena

   Series: Chapman & Hall/CRC Cryptography and Network Security Series

   Information on integrating soft computing techniques into video surveillance is widely scattered among conference papers, journal articles, and books. Bringing this research together in one source, Handbook on Soft Computing for Video Surveillance illustrates the application of soft computing...

   Published January 24th 2012 by Chapman & Hall
2. Manifold Learning Theory and Applications

   Edited by Yunqian Ma, Yun Fu

   Trained to extract actionable information from large volumes of high-dimensional data, engineers and scientists often have trouble isolating meaningful low-dimensional structures hidden in their high-dimensional observations. Manifold learning, a groundbreaking technique designed to tackle these...

   Published December 19th 2011 by CRC Press
3. Cost-Sensitive Machine Learning

   Edited by Balaji Krishnapuram, Shipeng Yu, R. Bharat Rao

   Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition

   In machine learning applications, practitioners must take into account the cost associated with the algorithm. These costs include: Cost of acquiring training data Cost of data annotation/labeling and cleaning Computational cost for model fitting, validation, and testing Cost of collecting...

   Published December 18th 2011 by CRC Press
4. Statistical Learning and Data Science

   Edited by Mireille Gettler Summa, Leon Bottou, Bernard Goldfarb, Fionn Murtagh, Catherine Pardoux, Myriam Touati

   Series: Chapman & Hall/CRC Computer Science & Data Analysis

   Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream. Unsupervised data analysis, including cluster analysis, factor analysis, and low dimensionality mapping methods continually being updated, have reached new...

   Published December 18th 2011 by Chapman & Hall
5. Spectral Feature Selection for Data Mining

   By Zheng Alan Zhao, Huan Liu

   Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

   Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified...

   Published December 13th 2011 by Chapman & Hall
6. A First Course in Machine Learning

   By Simon Rogers, Mark Girolami

   Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition

   A First Course in Machine Learning covers the core mathematical and statistical techniques needed to understand some of the most popular machine learning algorithms. The algorithms presented span the main problem areas within machine learning: classification, clustering and projection. The text...

   Published October 24th 2011 by Chapman & Hall
7. Logo Recognition

   Theory and Practice

   By Jingying Chen, Lizhe Wang, Dan Chen

   Used by companies, organizations, and even individuals to promote recognition of their brand, logos can also act as a valuable means of identifying the source of a document. E-business applications can retrieve and catalog products according to their logos. Governmental agencies can easily inspect...

   Published August 11th 2011 by CRC Press
8. Music Data Mining

   Edited by Tao Li, Mitsunori Ogihara, George Tzanetakis

   Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

   The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of music and associated data, such as styles, artists, lyrics, and reviews. Bringing together an interdisciplinary array of top researchers,...

   Published July 11th 2011 by CRC Press
9. Robot Development Using Microsoft Robotics Developer Studio

   By Shih-Chung Kang, Wei-Tze Chang, Kai-Yuan Gu, Hung-Lin Chi

   The Microsoft® Robotics Developer Studio (MSRDS) and LEGO® robots together offer a flexible platform for creating robotic systems. Designed for novices with basic programming skills, Robot Development Using Microsoft® Robotics Developer Studio provides clear instructions on developing and operating...

   Published June 22nd 2011 by Chapman & Hall
10. Statistical Inference

    The Minimum Distance Approach

    By Ayanendranath Basu, Hiroyuki Shioya, Chanseok Park

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    In many ways, estimation by an appropriate minimum distance method is one of the most natural ideas in statistics. However, there are many different ways of constructing an appropriate distance between the data and the model: the scope of study referred to by "Minimum Distance Estimation" is...

    Published June 21st 2011 by Chapman & Hall