Computer Science & Engineering

Machine Learning and Pattern Recognition

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Artificial Intelligence for Autonomous Networks

1st Edition

Featured

Mazin Gilbert
October 2, 2018

Artificial Intelligence for Autonomous Networks introduces the autonomous network by juxtaposing two unique technologies and communities: Networking and AI. The book reviews the technologies behind AI and software-defined network/network function virtualization, highlighting the exciting opportuniti...

Artificial Intelligence Safety and Security

1st Edition

Featured

Roman V. Yampolskiy
August 23, 2018

The history of robotics and artificial intelligence in many ways is also the history of humanity’s attempts to control such technologies. From the Golem of Prague to the military robots of modernity, the debate continues as to what degree of independence such entities should have and how to make s...

Human-Robot Interaction: Safety, Standardization, and Benchmarking

1st Edition

Paolo Barattini, Federico Vicentini, Gurvinder Singh Virk, Tamas Haidegger
April 29, 2019

Human-Robot Interaction: Safety, Standardization, and Benchmarking provides a comprehensive introduction to the new scenarios emerging where humans and robots interact in various environments and applications on a daily basis. The focus is on the current status and foreseeable implications of robot...

Time Series Clustering and Classification

1st Edition

Elizabeth Ann Maharaj, Pierpaolo D'Urso, Jorge Caiado
April 12, 2019

The beginning of the age of artificial intelligence and machine learning has created new challenges and opportunities for data analysts, statisticians, mathematicians, econometricians, computer scientists and many others. At the root of these techniques are algorithms and methods for clustering and...

Deep Neural Networks: WASD Neuronet Models, Algorithms, and Applications

1st Edition

Yunong Zhang, Dechao Chen, Chengxu Ye
March 20, 2019

Toward Deep Neural Networks: WASD Neuronet Models, Algorithms, and Applications introduces the outlook and extension toward deep neural networks, with a focus on the weights-and-structure determination (WASD) algorithm. Based on the authors’ 20 years of research experience on neuronets, the book...

Smart Data: State-of-the-Art Perspectives in Computing and Applications

1st Edition

Kuan-Ching Li, Beniamino Di Martino, Laurence T. Yang, Qingchen Zhang
March 13, 2019

Smart Data: State-of-the-Art Perspectives in Computing and Applications explores smart data computing techniques to provide intelligent decision making and prediction services support for business, science, and engineering. It also examines the latest research trends in fields related to smart data...

Machine Learning in Translation Corpora Processing

1st Edition

Krzysztof Wolk
March 05, 2019

This book reviews ways to improve statistical machine speech translation between Polish and English. Research has been conducted mostly on dictionary-based, rule-based, and syntax-based, machine translation techniques. Most popular methodologies and tools are not well-suited for the Polish language...

Machine Learning for Computer and Cyber Security: Principle, Algorithms, and Practices

1st Edition

Brij B. Gupta, Quan Z. Sheng
February 13, 2019

While Computer Security is a broader term which incorporates technologies, protocols, standards and policies to ensure the security of the computing systems including the computer hardware, software and the information stored in it, Cyber Security is a specific, growing field to protect computer...

Virtual Humans: Today and Tomorrow

1st Edition

David Burden, Maggi Savin-Baden
February 04, 2019

Virtual Humans provides a much-needed definition of what constitutes a ‘virtual human’ and places virtual humans within the wider context of Artificial Intelligence development. It explores the technical approaches to creating a virtual human, as well as emergent issues such as embodiment, identity...

Reinforcement Learning for Cyber-Physical Systems: with Cybersecurity Case Studies

1st Edition

Chong Li, Meikang Qiu
February 04, 2019

Reinforcement Learning for Cyber-Physical Systems: with Cybersecurity Case Studies was inspired by recent developments in the fields of reinforcement learning (RL) and cyber-physical systems (CPSs). Rooted in behavioral psychology, RL is one of the primary strands of machine learning. Different...

A Computational Approach to Statistical Learning

1st Edition

Taylor Arnold, Michael Kane, Bryan W. Lewis
January 29, 2019

A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. The text contains annotated code to over 80 original reference functions. These functions provide minimal...

Handbook of Mixture Analysis

1st Edition

Sylvia Fruhwirth-Schnatter, Gilles Celeux, Christian P. Robert
January 07, 2019

Mixture models have been around for over 150 years, and they are found in many branches of statistical modelling, as a versatile and multifaceted tool. They can be applied to a wide range of data: univariate or multivariate, continuous or categorical, cross-sectional, time series, networks, and...

Computational Context: The Value, Theory and Application of Context with AI

1st Edition

William F. Lawless, Ranjeev Mittu, Donald Sofge
December 21, 2018

This volume addresses context from three comprehensive perspectives: first, its importance, the issues surrounding context, and its value in the laboratory and the field; second, the theory guiding the AI used to model its context; and third, its applications in the field (e.g., decision-making)....

Swarm Intelligence Methods for Statistical Regression

1st Edition

Soumya Mohanty
December 11, 2018

A core task in statistical analysis, especially in the era of Big Data, is the fitting of flexible, high-dimensional, and non-linear models to noisy data in order to capture meaningful patterns. This can often result in challenging non-linear and non-convex global optimization problems. The large...

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