Learn IT - Books tags bayesian

Applied Logistic Regression (Wiley Series in Probability and Statistics)

John Wiley & Sons, 2013

A new edition of the definitive guide to logistic regression modeling for health science and other applications

This thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this model by examining the relationship...

Data Mining and Statistics for Decision Making

John Wiley & Sons, 2011

Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify...

Bayesian Hierarchical Models: With Applications Using R, Second Edition

CRC Press, 2019

An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables, and in methods where parameters can be treated as random collections. Through illustrative data analysis...

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...

Design of Logic-based Intelligent Systems

John Wiley & Sons, 2004

Principles for constructing intelligent systems
Design of Logic-based Intelligent Systems develops principles andmethods for constructing intelligent systems for complex tasks thatare readily done by humans but are difficult for machines. CurrentArtificial Intelligence (AI) approaches rely on various constructsand methods (production...

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...

Human Recognition at a Distance in Video (Advances in Pattern Recognition)

Springer, 2010

Most biometric systems employed for human recognition require physical contact with, or close proximity to, a cooperative subject. Far more challenging is the ability to reliably recognize individuals at a distance, when viewed from an arbitrary angle under real-world environmental conditions. Gait and face data are the two biometrics that...

Gravity Interpretation: Fundamentals and Application of Gravity Inversion and Geological Interpretation

Springer, 2009

This text on gravity methods in geophysics is intended for students and earth scientists of all kinds e.g., geophysicists, geologists, and geodesists. It is structured in 7 chapters covering the basic problems and tasks: data acquisition and analysis; qualitative and quantitative geological interpretation aspects involving the basic theory of...

Data Analysis with R

Packt Publishing, 2015

Key Features

Load, manipulate and analyze data from different sources
Gain a deeper understanding of fundamentals of applied statistics
A practical guide to performing data analysis in practice

Book Description

Frequently the tool of choice for academics, R...

Computer Vision: Algorithms and Applications (Texts in Computer Science)

Springer, 2010

Humans perceive the three-dimensional structure of the world with apparent ease. However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old remains elusive. Why is computer vision such a challenging problem and what is the current state of the...

Machine Learning for Finance: Principles and practice for financial insiders

Packt Publishing, 2019

A guide to advances in machine learning for financial professionals, with working Python code

Key Features

Explore advances in machine learning and how to put them to work in financial industries

Clear explanation and expert discussion of how machine learning works, with...

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