Classification

This volume explores the many ways by which natural languages categorize nouns into genders or classes. A noun may belong to a given class because of its logical or symbolic similarities with other no

This volume explores the many ways by which natural languages categorize nouns into genders or classes. A noun may belong to a given class because of its logical or symbolic similarities with other no

****When not purchasing directly from the official sales agents of the WHO, especially at online bookshops, please note that there have been issues with counterfeited copies. Buy only from known selle

It is the belief of many of this volume's contributing authors that contemporary conversations about scientific classification have stagnated by focusing centrally or solely on natural kinds, that is,

Electroencephalography (EEG) is an electrophysiological monitoring method used to record the brain activity in brain-computer interface (BCI) systems. It records the electrical activity of the brain,

What is the essence of a part of speech? Why is it difficult to classify parts of speech? What are the bases and criteria for classifying them? How should they be classified? In doing s

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Visible scarring may be a daily reminder of disease long after active acne has subsided. Frequently, it is a cause of distress for the patient and a leading cause for visiting medical professionals. T

This SpringerBrief covers the technical material related to large scale hierarchical classification (LSHC). HC is an important machine learning problem that has been researched and explored extensivel

An English translation of Bachelard's sixth book, in which he seeks to develop a metaphysical context for modern atomistic science.

The WHO Classification of Skin Tumours is the 11th volume in the 4th edition of the WHO series on the classification of human tumours. The series (also known as the Blue Books) has long been regarded

The WHO Classification of Tumours of the Eye is the 12th and final volume in the 4th edition of the WHO series on the classification of human tumours. The series (also known as the Blue Books) has lo

This book collects the notes of the lectures given at an Advanced Course on Dynamical Systems at the Centre de Recerca Matemàtica (CRM) in Barcelona. The notes consist of four series of lectures.The f

An essential guide to two burgeoning topics in machine learning – classification trees and ensemble learning Ensemble Classification Methods with Applications in R introduces the concepts a

This book examines the connection between two major developments in the world: state-formation and democratization. Since 1946, the number of states has increased from 66 to almost 200 independent sta

It is not lost on commercial organisations that where we live colours how we view ourselves and others. That is why so many now place us into social groups on the basis of the type of postcode i

It is not lost on commercial organisations that where we live colours how we view ourselves and others. That is why so many now place us into social groups on the basis of the type of postcode i

The Carnegie Engagement Classification is designed to be a form of evidence-based documentation that a campus meets the criteria to be recognized as a community engaged institution. Editors John Saltm

The Carnegie Engagement Classification is designed to be a form of evidence-based documentation that a campus meets the criteria to be recognized as a community engaged institution. Editors John Saltm

Financial reporting practices differ widely between countries and this has far-reaching implications for multinational businesses. Over more than a century, there have been attempts to classify countr

This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data

Written by an international team of editors and contributors from renowned universities and institutes, this book addresses the latest research in the field of nanobiomaterials, covering nanotechnolog

Cluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters are there? Which method should I use? How should I handle outliers? Classification assigns new observations to groups given previously classified observations, and also has open questions about parameter tuning, robustness and uncertainty assessment. This book frames cluster analysis and classification in terms of statistical models, thus yielding principled estimation, testing and prediction methods, and sound answers to the central questions. It builds the basic ideas in an accessible but rigorous way, with extensive data examples and R code; describes modern approaches to high-dimensional data and networks; and explains such recent advances as Bayesian regularization, non-Gaussian model-based clustering, cluster merging, variable selection, semi-supervised and robust classification, clustering of functional data, text and images, and co-cl

This reader-friendly textbook presents a comprehensive review of the essentials of image data mining, and the latest cutting-edge techniques used in the field. The coverage spans all aspects of image