Elsevier Introduces Machine Learning and Two Additional Communications Engineering Books at ICASSP 2015
expert authors new book providing in-depth understanding
of major machine learning methods
Signal processing expert authors new book providing in-depth understanding of major machine learning methods
Elsevier, a world-leading provider of scientific, technical and medical information products and services, today announced the publication of Machine Learning: A Bayesian and Optimization Perspective by signal processing expert Dr. Sergios Theodoridis. This book provides an in-depth understanding of all primary machine learning methods. It will be featured, along with two other new communications engineering books, in Elsevier’s booth # 10 at the 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015 held in Brisbane, Australia, April 19-24.
- Learn more about machine learning in a blog post by Dr. Theodoridis
presents the major machine learning methods developed in different disciplines,
such as statistics, computer science, and statistical and adaptive signal
processing. Focusing on the physical reasoning behind the mathematics, the
various methods and techniques are explained in depth, supported by examples
and problems. The book builds carefully from the basic classical methods to the
most recent trends. It is suitable for courses on pattern recognition,
statistical/adaptive signal processing, statistical/Bayesian learning, sparse
modeling, deep learning and probabilistic graphical models.
Dr. Theodoridis is Professor of Signal Processing and Machine Learning in the Department of Informatics and Telecommunications at the University of Athens, Greece. He co-authored the bestselling book, Pattern Recognition, as well as Introduction to Pattern Recognition: A MATLAB Approach. Dr. Theodoridis serves as editor-in-chief of IEEE Transactions on Signal Processing and as co-editor- in-chief for Elsevier’s Academic Press Library in Signal Processing. His numerous awards include the 2014 IEEE Signal Processing Magazine Best Paper Award, the 2014 IEEE Signal Processing Society Education Award, and the EURASIP 2014 Meritorious Service Award.
The three new communications engineering books are:
- Machine Learning: A Bayesian and Optimization Perspective by Sergios Theodoridis
- MPEG-V: Bridging the Virtual and Real World by Kyoungro Yoon, Sang-Kyun Kim, Jae Joon Han, Seungju Han and Marius Preda
- A Primer for Financial Engineering: Financial Signal Processing and Electronic Trading by Ali Akansu and Mustafa Torun
The books are available on the Elsevier Store and on ScienceDirect, Elsevier’s full-text scientific database offering journal articles and book chapters from over 2,500 peer-reviewed journals and more than 33,000 book titles.
Notes for Editors
Review copies of the books are available to credentialed journalists upon request. Contact Michelle McMahon at firstname.lastname@example.org or +1 781 663 2268.
Elsevier is a global information analytics company that helps institutions and professionals progress science, advance healthcare and improve performance for the benefit of humanity. Elsevier provides digital solutions and tools in the areas of strategic research management, R&D performance, clinical decision support, and professional education; including ScienceDirect, Scopus, ClinicalKey and Sherpath. Elsevier publishes over 2,500 digitized journals, including The Lancet and Cell, more than 35,000 e-book titles and many iconic reference works, including Gray's Anatomy. Elsevier is part of RELX Group, a world-leading provider of information and analytics to professionals and business customers, in a wide range of industries. www.elsevier.com
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