Learn IT - Books tags markov

Introduction to Computational Genomics: A Case Studies Approach

Cambridge University Press, 2007

Where did SARS come from? Have we inherited genes from Neanderthals? How do plants use their internal clock? The genomic revolution in biology enables us to answer such questions. But the revolution would have been impossible without the support of powerful computational and statistical methods that enable us to exploit genomic data. Many...

Bioinformatics Algorithms: Techniques and Applications (Wiley Series in Bioinformatics)

John Wiley & Sons, 2008

Presents algorithmic techniques for solving problems in bioinformatics, including applications that shed new light on molecular biology

This book introduces algorithmic techniques in bioinformatics, emphasizing their application to solving novel problems in post-genomic molecular biology. Beginning with a thought-provoking discussion on the...

A First Course in Stochastic Models

John Wiley & Sons, 2003

The teaching of appliedprobability needs a fresh approach. The fieldof applied probability has changedprofound ly in the past twenty years andyet the textbooks in use today do not fully reflect the changes. The development of computational methods has greatly contributed to a better understanding of the theory. It is my conviction that theory is...

Mathematical Models for Systems Reliability

CRC Press, 2008

Evolved from the lectures of a recognized pioneer in developing the theory of reliability, Mathematical Models for Systems Reliability provides a rigorous treatment of the required probability background for understanding reliability theory.

This classroom-tested text begins by discussing the Poisson process and its associated...

Artificial Intelligence: Structures and Strategies for Complex Problem Solving (5th Edition)

Addison Wesley, 2004

Can machines think like people? This question is the driving force behind Artificial Intelligence, but it is only the starting point of this ever-evolving, exciting discipline. AI uses different strategies to solve the complex problems that arise wherever computer technology is applied, from those areas pertaining to perception and adaptation...

Probability and Random Processes for Electrical and Computer Engineers

Cambridge University Press, 2006

The theory of probability is a powerful tool that helps electrical and computer engineers to explain, model, analyze, and design the technology they develop. The text begins at the advanced undergraduate level, assuming only a modest knowledge of probability, and progresses through more complex topics mastered at graduate level. The first five...

Probabilistic Methods for Algorithmic Discrete Mathematics (Algorithms and Combinatorics)

Springer, 1998

The book gives an accessible account of modern probabilistic methods for analyzing combinatorial structures and algorithms. It will be an useful guide for graduate students and researchers.
Special features included: a simple treatment of Talagrand's inequalities and their applications; an overview and many carefully worked out examples of the...

Wireless Quality of Service: Techniques, Standards, and Applications (Wireless Networks and Mobile Communications)

Auerbach Publications, 2008

Focusing on an important and complicated topic in wireless network design, Wireless Quality of Service: Techniques, Standards, and Applications systematically addresses the quality-of-service (QoS) issues found in many types of popular wireless networks.

In each chapter, the book presents numerous QoS challenges encountered in...

Text-to-Speech Synthesis

Cambridge University Press, 2009

Text-to-Speech Synthesis provides a complete, end-to-end account of the process of generating speech by computer. Giving an in-depth explanation of all aspects of current speech synthesis technology, it assumes no specialized prior knowledge. Introductory chapters on linguistics, phonetics, signal processing and speech signals lay the...

Advanced Signal Processing and Noise Reduction, 2nd Edition

John Wiley & Sons, 2000

This book presents a broad range of theory and application of statistical signal processing. The emphasis is on digital noise reduction algorithms, particularly important in the field of mobile communication. Vaseghi covers a broad range of applications, including spectral estimation, channel equalization, speech coding over noisy channels,...

Bayesian Computation with R (Use R)

Springer, 2009

The book is a concise presentation of a wide range of Bayesian inferential problems and the computational methods to solve them. The detailed and thorough presentation style, with complete R code for the examples, makes it a welcome companion to a theoretical text on Bayesian inference.... Smart students of statistics will want to have both R and...

The History of Approximation Theory: From Euler to Bernstein

Birkhauser, 2005

The problem of approximating a given quantity is one of the oldest challenges faced by mathematicians. Its increasing importance in contemporary mathematics has created an entirely new area known as Approximation Theory. The modern theory was initially developed along two divergent schools of thought: the Eastern or Russian group, employing...

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