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Graphical Models for Machine Learning and Digital Communication (Adaptive Computation and Machine Learning)
Graphical Models for Machine Learning and Digital Communication (Adaptive Computation and Machine Learning)

A variety of problems m machine learning and digital communication deal with complex but structured natural or artificial systems. Natural patterns mat we wish to automatically classify' are a consequence of a hierarchical causal physical process. Learning about the world m which we live requires mat we extract useful sensor)'...

Optimization for Machine Learning (Neural Information Processing series)
Optimization for Machine Learning (Neural Information Processing series)
The intersection of interests between machine learning and optimization has engaged many leading researchers in both communities for some years now. Both are vital and growing fields, and the areas of shared interest are expanding too. This volume collects contributions from many researchers who have been a part of these...
Mathematical Programming: Theory and Methods
Mathematical Programming: Theory and Methods
This book is a result of my teaching mathematical programming to graduate students of the University of Delhi for over thirty years. In preparing this book, a special care has been made to see that it is self-contained and that it is suitable both as a text and as a reference.

The book is divided in three parts.
...
Fuzzy Optimization: Recent Advances and Applications (Studies in Fuzziness and Soft Computing)
Fuzzy Optimization: Recent Advances and Applications (Studies in Fuzziness and Soft Computing)
Optimization is an extremely important area in science and technology which provides powerful and useful tools and techniques for the formulation and solution of a multitude of problems in which we wish, or need, to find a best possible option or solution. It has been an important area of research for more than half a century,...
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...
Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information
Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information

In the context of systems and control, incomplete information refers to a dynamical system in which knowledge about the system states is limited due to the difficulties in modelling complexity in a quantitative way. The well-known types of incomplete information include parameter uncertainties and norm-bounded nonlinearities. Recently, in...

Modelling and Control for Intelligent Industrial Systems: Adaptive Algorithms in Robotics and Industrial Engineering
Modelling and Control for Intelligent Industrial Systems: Adaptive Algorithms in Robotics and Industrial Engineering

Incorporating intelligence in industrial systems can help to increase productivity, cut-off production costs, and to improve working conditions and safety in industrial environments. This need has resulted in the rapid development of modeling and control methods for industrial systems and robots, of fault detection and isolation methods for...

Pyomo - Optimization Modeling in Python (Springer Optimization and Its Applications, Vol. 67)
Pyomo - Optimization Modeling in Python (Springer Optimization and Its Applications, Vol. 67)

This book provides a complete and comprehensive reference/guide to Pyomo (Python Optimization Modeling Objects) for both beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, and practitioners. The text illustrates the breadth of the modeling and analysis capabilities that are...

Project Management Simulation with PTB Project Team Builder
Project Management Simulation with PTB Project Team Builder

“The Project Team Builder (PTB) meets the need for an effective teaching and training tool of project management. The software introduces the user to the full dynamics of project planning, monitoring and control, moving scenario-wise from the easy, fundamental issues to the more involved, complex ones. Based on a sound conceptual...

Signal Processing in Radar Systems
Signal Processing in Radar Systems

An essential task in radar systems is to find an appropriate solution to the problems related to robust signal processing and the definition of signal parameters. Signal Processing in Radar Systems addresses robust signal processing problems in complex radar systems and digital signal processing subsystems. It also tackles...

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