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...

Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica® Support

Cambridge University Press, 2010

Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book...

Optimisation in Signal and Image Processing

John Wiley & Sons, 2009

This book describes the optimization methods most commonly encountered in signal and image processing: artificial evolution and Parisian approach; wavelets and fractals; information criteria; training and quadratic programming; Bayesian formalism; probabilistic modeling; Markovian approach; hidden Markov models; and metaheuristics (genetic...

Multimedia Retrieval (Data-Centric Systems and Applications)

Springer, 2007

Retrieval of multimedia data is different from retrieval of structured data. A key problem in multimedia databases is search, and the proposed solutions to the problem of multimedia information retrieval span a rather wide spectrum of topics outside the traditional database area, ranging from information retrieval and humancomputer interaction to...

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...

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...

Reliability of Computer Systems and Networks: Fault Tolerance, Analysis, and Design

John Wiley & Sons, 2001

A comprehensive introduction to reliability and availability modeling, analysis, and design at the system, hardware, and software levels

Reliability of Computer Systems and Networks presents the fundamentals of reliability and availability analysis for various computer hardware, software, and networked systems. Reliability and...

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