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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,...
Sets, Logic and Maths for Computing (Undergraduate Topics in Computer Science)
Sets, Logic and Maths for Computing (Undergraduate Topics in Computer Science)
The first part of this preface is for the student, the second for the instructor. Some readers may find it helpful to look at both.Whoever you are, welcome!

This easy-to-follow textbook introduces the mathematical language, knowledge and problem-solving skills that undergraduates need to study computing. The language is in part...

Immunodominance
Immunodominance
The normal, intact immune system does not have equal probability of responding to every potential part of a protein. It has been known for more than 50 years that only parts of the protein that are “outside” are available for antibody binding. Yet, with the advent of Western blotting techniques, antibodies that react...
All the Mathematics You Missed: But Need to Know for Graduate School
All the Mathematics You Missed: But Need to Know for Graduate School
Math is Exciting. We are living in the greatest age of mathematics ever seen. In the 1930s, there were some people who feared that the rising abstractions of the early twentieth century would either lead to mathematicians working on sterile, silly intellectual exercises or to mathematics splitting into sharply distinct...
Machine Learning and Data Mining
Machine Learning and Data Mining
The book describes the basics of machine learning principles and algorithms that are used in data mining and is intended for students of computer science, researchers who need to adapt various algorithms for particular data mining tasks, and for education of sophisticated users of machine learning and data mining tools.

...
Radiation Dose from Adult and Pediatric Multidetector Computed Tomography (Medical Radiology / Diagnostic Imaging)
Radiation Dose from Adult and Pediatric Multidetector Computed Tomography (Medical Radiology / Diagnostic Imaging)
The use of computed tomography (CT) has seen enormous growth over the past decade. In the US, approximately 63 million examinations were performed in 2005 (Niagara Health Quality Coalition 2004) compared to 35 million in 2000. The increased number of clinical applications (e.g., in emergency and trauma, paediatric, cardiac, and...
Bayesian Biostatistics and Diagnostic Medicine
Bayesian Biostatistics and Diagnostic Medicine
Bayesian methods are being used more often than ever before in biology and medicine. For example, at the University of Texas MD Anderson Cancer Center, Bayesian sequential stopping rules routinely are used for the design of clinical trials. This book is based on the author’s experience working with a variety of...
The Princeton Companion to Mathematics
The Princeton Companion to Mathematics

This is a one-of-a-kind reference for anyone with a serious interest in mathematics. Edited by Timothy Gowers, a recipient of the Fields Medal, it presents nearly two hundred entries, written especially for this book by some of the world's leading mathematicians, that introduce basic mathematical tools and vocabulary; trace the...

The Esoteric Investor: Alternative Investments for Global Macro Investors
The Esoteric Investor: Alternative Investments for Global Macro Investors

Massive demographic, environmental, economic, and regulatory shifts are generating huge new investment opportunities with an exceptionally high probability of success over the coming years and decades. In The Esoteric Investor, a world-class portfolio manager identifies these investments, and shows how your best...

Uncertainty Theory: A Branch of Mathematics for Modeling Human Uncertainty (Studies in Computational Intelligence)
Uncertainty Theory: A Branch of Mathematics for Modeling Human Uncertainty (Studies in Computational Intelligence)
Some information and knowledge are usually represented by human language like “about 100km”, “approximately 39 ?C”, “roughly 80kg”, “low speed”, “middle age”, and “big size”. Perhaps some people think that they are subjective probability or they are fuzziness....
Kernel Smoothing (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
Kernel Smoothing (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

Kernel smoothing refers to a general methodology for recovery of underlying structure in data sets. The basic principle is that local averaging or smoothing is performed with respect to a kernel function.

This book provides uninitiated readers with a feeling for the principles, applications, and analysis of kernel smoothers.
...

Introduction to Risk Calculation in Genetic Counseling
Introduction to Risk Calculation in Genetic Counseling

The process of genetic counseling involves many key components, such as taking a family genetic history, making a diagnosis, and providing communication and support to the family. Among these core processes is the mathematical calculation of the actual risk of a possible genetic disorder. For most physicians and counselors, the mathematics...

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