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A First Course in Statistical Programming with R
A First Course in Statistical Programming with R

This text began as notes for a course in statistical computing for second year actuarial and statistical students at the University of Western Ontario. Both authors are interested in statistical computing, both as support for our other research and for its own sake. However, we have found that our students were not learning the right sort of...

Reliability Modeling, Analysis And Optimization
Reliability Modeling, Analysis And Optimization

As our modern information-age society grows in complexity both in terms of embedded systems and applications, the problems and challenges in reliability become ever more complex. Bringing together many of the leading experts in the field, this volume presents a broad picture of current research on system modeling and optimization in...

Knowledge Needs and Information Extraction: Towards an Artificial Consciousness (ISTE)
Knowledge Needs and Information Extraction: Towards an Artificial Consciousness (ISTE)
The title of this book is both subversive and ambitious. It is subversive because few academic publications deal with this subject. There has, of course, been work done in robotics on artificially reproducing a “human” movement. One can also find more cognitive works about the way of reasoning – i.e. storing and...
WLAN Positioning Systems: Principles and Applications in Location-Based Services
WLAN Positioning Systems: Principles and Applications in Location-Based Services

Describing the relevant detection and estimation theory, this detailed guide provides the background knowledge needed to tackle the design of practical WLAN positioning systems. It sets out key system-level challenges and design considerations in increasing positioning accuracy and reducing computational complexity, and it also examines...

Professional Financial Computing Using Excel and VBA
Professional Financial Computing Using Excel and VBA

"Professional Financial Computing Using Excel and VBA is an admirable exposition that bridges the theoretical underpinnings of financial engineering and its application which usually appears as a "black-box" software application. The book opens the black-box and reveals the architecture of risk-modeling and financial...

Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural Models
Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural Models

This book was written in response to the growing demand for a text that provides a unified treatment of linear and nonlinear complex valued adaptive filters, and methods for the processing of general complex signals (circular and noncircular). It brings together adaptive filtering algorithms for feedforward (transversal) and feedback...

Numerical Methods for Chemical Engineering: Applications in MATLAB
Numerical Methods for Chemical Engineering: Applications in MATLAB

Suitable for a first year graduate course, this textbook unites the applications of numerical mathematics and scientific computing to the practice of chemical engineering. Written in a pedagogic style, the book describes basic linear and nonlinear algebric systems all the way through to stochastic methods, Bayesian statistics and parameter...

Artificial Intelligence for Humans, Volume 3: Deep Learning and Neural Networks
Artificial Intelligence for Humans, Volume 3: Deep Learning and Neural Networks

Neural networks have been a mainstay of artificial intelligence since its earliest days. Now, exciting new technologies such as deep learning and convolution are taking neural networks in bold new directions. In this book, we will demonstrate the neural networks in a variety of real-world tasks such as image recognition and data science. We...

Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)
Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)

Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis

 

Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely...

Probability (Graduate Studies in Mathematics)
Probability (Graduate Studies in Mathematics)

This is a textbook for a one-semester graduate course in measure-theoretic probability theory, but with ample material to cover an ordinary year-long course at a more leisurely pace. Khoshnevisan's approach is to develop the ideas that are absolutely central to modern probability theory, and to showcase them by presenting their various...

Production Systems Engineering: Cost and Performance Optimization
Production Systems Engineering: Cost and Performance Optimization

Optimize Economic and Technological Requirements in Production System Designs

This pioneering work offers proven techniques, partially created and developed at The Charles Stark Draper Laboratory, for determining optimal resource allocation and cost-effective production system designs for today’s any-volume...

Physical Layer Security in Wireless Communications (Wireless Networks and Mobile Communications)
Physical Layer Security in Wireless Communications (Wireless Networks and Mobile Communications)

Physical layer security has recently become an emerging technique to complement and significantly improve the communication security of wireless networks. Compared to cryptographic approaches, physical layer security is a fundamentally different paradigm where secrecy is achieved by exploiting the physical layer properties of the...

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