Learn IT - Books tags probability

Measuring Computer Performance: A Practitioner's Guide

Cambridge University Press, 2000

Measuring Computer Performance sets out the fundamental techniques used in analyzing and understanding the performance of computer systems. The emphasis is on practical methods of measurement, simulation, and analytical modeling. David Lilja discusses performance metrics and provides detailed coverage of the strategies used in benchmark programs....

Radiowave Propagation and Smart Antennas for Wireless Communications

Springer, 2000

This book emerged from teaching a graduate level course in propagation and smart antennas at the Naval Postgraduate School. In its present form, it is suitable not only as a graduate level text, but also as a reference book for industry and research use. The area of radiowave propagation and smart antennas is highly interdisciplinary, extracting...

Space-Time Codes and MIMO Systems

Artech House Publishers, 2004

This book is intended to introduce space-time coding and multiantenna systems. The endeavor is to impart a working knowledge of the subject not just for students and researchers but for the entire wireless community.

The birth of multiantenna systems is the direct result of the long-standing struggle to achieve data rates without...

Intelligent Data Analysis

Springer, 2007

This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The ten coherently written chapters by leading experts provide complete coverage of the core issues.

The first half of the book is devoted to the discussion of classical statistical issues, ranging from the basic concepts of...

Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)

MIT Press, 2007

Handling inherent uncertainty and exploiting compositional structure are fundamental to understanding and designing large-scale systems. Statistical relational learning builds on ideas from probability theory and statistics to address uncertainty while incorporating tools from logic, databases, and programming languages to represent structure. In...

Advances in Mathematical Modeling for Reliability

IOS Press, 2008

Advances in Mathematical Modeling for Reliability discusses fundamental issues on mathematical modeling in reliability theory and its applications. Beginning with an extensive discussion of graphical modeling and Bayesian networks, the focus shifts towards repairable systems: a discussion about how sensitive availability calculations parameter...

All the Mathematics You Missed But Need to Know for Graduate School

Cambridge University Press, 2002

"Point set topology, complex analysis, differential forms, the curvature of surfaces, the axiom of choice, Lebesgue integration, Fourier analysis, algorithms, and differential equations.... I found these sections to be the high points of the book. They were a sound introduction to material that some but not all graduate students will...

When Least Is Best: How Mathematicians Discovered Many Clever Ways to Make Things as Small (or as Large) as Possible

Princeton Press, 2007

This book was terrific fun to read! I thought I would skim the chapters to write my review, but I was hooked by the preface, and read through the first 100 pages in one sitting... [Nahin shows] obvious delight and enjoyment--he is having fun and it is contagious. -- Bonnie Shulman MAA Online When Least is Best is clearly the result of immense...

Practical Text Mining with Perl (Wiley Series on Methods and Applications in Data Mining)

John Wiley & Sons, 2008

Provides readers with the methods, algorithms, and means to perform text mining tasks

This book is devoted to the fundamentals of text mining using Perl, an open-source programming tool that is freely available via the Internet (www.perl.org). It covers mining ideas from several perspectives—statistics, data mining,...

Stochastic Approximation and Its Application (Nonconvex Optimization and Its Applications)

Springer, 2002

This book presents the recent development of stochastic approximation algorithms with expanding truncations based on the TS (trajectory-subsequence) method, a newly developed method for convergence analysis. This approach is so powerful that conditions used for guaranteeing convergence have been considerably weakened in comparison with those...

A Course in Financial Calculus

Cambridge University Press, 2002

' ... being relatively short and a paperback must make it appealing to students and those who need a quick introduction to the material. ... nicely produced and elegantly laid out. I would consider adopting it as a text for a course in this topic. Publication of the International Statistical Institute 'This is a well written textbook which should...

Quantum Computing without Magic: Devices (Scientific and Engineering Computation)

MIT Press, 2008

"Quantum Computing without Magic gives a refreshing and down to earth approach to quantum information as well as quantum devices which will have a fundamental impact on the technology of the 21st century."
—Raymond Laflamme, Canada Research Chair in Quantum Information, and Director, Institute for...

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