Computer Science & Engineering

Machine Learning and Pattern Recognition

Per Page:
Sort:

Introduction to Machine Learning with Applications in Information Security

Featured

Mark Stamp
September 7, 2017

Introduction to Machine Learning with Applications in Information Security provides a class-tested introduction to a wide variety of machine learning algorithms, reinforced through realistic applications. The book is accessible and doesn’t prove theorems, or otherwise dwell on mathematical theory....

Artificial Intelligence: With an Introduction to Machine Learning, Second Edition

Richard E. Neapolitan, Xia Jiang
May 16, 2018

The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the same accessibility...

Sufficient Dimension Reduction: Methods and Applications with R

Bing Li
May 01, 2018

Sufficient dimension reduction is a rapidly developing research field that has wide applications in regression diagnostics, data visualization, machine learning, genomics, image processing, pattern recognition, and medicine, because they are fields that produce large datasets with a large number of...

Artificial Intelligence and the Two Singularities

Calum Chace
April 26, 2018

The science of AI was born a little over 60 years ago, but for most of that time its achievements were modest. In 2012 it experienced a big bang, when a branch of statistics called Machine Learning (and a sub-branch called Deep Learning) was applied to it. Now machines have surpassed humans in...

Probabilistic Foundations of Statistical Network Analysis

Harry Crane
April 19, 2018

Probabilistic Foundations of Statistical Network Analysis presents a fresh and insightful perspective on the fundamental tenets and major challenges of modern network analysis. Its lucid exposition provides necessary background for understanding the essential ideas behind exchangeable and dynamic...

Spectral Feature Selection for Data Mining

Zheng Alan Zhao, Huan Liu
April 18, 2018

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...

Feature Engineering for Machine Learning and Data Analytics

Guozhu Dong, Huan Liu
April 04, 2018

Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if there are few features to represent the underlying data objects, and the quality of results of those algorithms largely depends on the...

The Nano Age of Digital Immunity Infrastructure Fundamentals and Applications: The Intelligent Cyber Shield for Smart Cities

Rocky Termanini
March 15, 2018

Present anti-virus technologies do not have the symmetrical weaponry to defeat massive DDoS attacks on smart cities. Smart cities require a new set of holistic and AI-centric cognitive technology, such as autonomic components that replicate the human immune system, and a smart grid that connects...

Deep Learning in Biometrics

Mayank Vatsa, Richa Singh, Angshul Majumdar
March 12, 2018

Deep Learning is now synonymous with applied machine learning. Many technology giants (e.g. Google, Microsoft, Apple, IBM) as well as start-ups are focusing on deep learning-based techniques for data analytics and artificial intelligence. This technology applies quite strongly to biometrics. This...

Image Processing and Pattern Recognition Based on Parallel Shift Technology

Stepan Bilan, Sergey Yuzhakov
February 14, 2018

This book describes the methods and algorithms for image pre-processing and recognition. These methods are based on a parallel shift technology of the imaging copy, as well as simple mathematical operations to allow the generation of a minimum set of features to describe and recognize the image....

Chain Event Graphs

Rodrigo A. Collazo, Christiane Goergen, Jim Q. Smith
January 31, 2018

   Written by some major contributors to the development of this class of graphical models, Chain Event Graphs introduces a viable and straightforward new tool for statistical inference, model selection and learning techniques. The book extends established technologies used in the study of...

Brain–Computer Interfaces Handbook: Technological and Theoretical Advances

Chang S. Nam, Anton Nijholt, Fabien Lotte
January 24, 2018

This handbook is a valuable resource to anyone involved with improvement of people's lives by replacing, restoring, supplementing and improving motor action, and understanding the neural bases of such functions. While there are several other resources available, there is no handbook such as this...

Anti-Spam Techniques Based on Artificial Immune System

Ying Tan
November 01, 2017

Email has become an indispensable communication tool in daily life. However, high volumes of spam waste resources, interfere with productivity, and present severe threats to computer system security and personal privacy. This book introduces research on anti-spam techniques based on the artificial...

Conferences

Year: