This book offers a comprehensive review of multilabel techniques widely used to classify and label texts, pictures, videos and music in the Internet. A deep review of the specialized literature on the field includes the available software needed to work with this kind of data. It provides the user with the software tools needed to deal with multilabel data, as well as step by step instruction on how to use them. The main topics covered are: • The special characteristics of multi-labeled data and the metrics available to measure them.• The importance of taking advantage of label correlations to improve the results.• The different approaches followed to face multi-label classification.• The preprocessing techniques applicable to multi-label datasets.• The available software tools to work with multi-label data. This book is beneficial for professionals and researchers in a variety of fields because of the wide range of potential applications for multilabel classification. Besides its multiple applications to classify different types of online information, it is also useful in many other areas, such as genomics and biology. No previous knowledge about the subject is required. The book introduces all the needed concepts to understand multilabel data characterization, treatment and evaluation.

Multilabel Classification: Problem Analysis, Metrics and Techniques

Computers & Technology

Herrera, Francisco

Charte, Francisco

Rivera, Antonio J.

del Jesus, María J.

Computer Science

Springer

This book offers a comprehensive review of multilabel techniques widely used to classify and label texts, pictures, videos and music in the Internet. A deep review of the specialized literature on the field includes the available software needed to work with this kind of data. It provides the user with the software tools needed to deal with multilabel data, as well as step by step instruction on how to use them. The main topics covered are: -The special characteristics of multi-labeled data and the metrics available to measure them.-The importance of taking advantage of label correlations to improve the results.-The different approaches followed to face multi-label classification.-The preprocessing techniques applicable to multi-label datasets.-The available software tools to work with multi-label data.This book is beneficial for professionals and researchers in a variety of fields because of the wide range of potential applications for multilabel classification. Besides its multiple applications to classify different types of online information, it is also useful in many other areas, such as genomics and biology. No previous knowledge about the subject is required. The book introduces all the needed concepts to understand multilabel data characterization, treatment and evaluation.

C++ Builder surgió de la fusión de dos tecnologías en un único entorno de desarrollo, nació siendo una herramienta de desarrollo de última generación sumamente mejorada hasta llegar a la actual versión 5. El entorno de desarrollo de C++ Builder es simple, flexible y potente al mismo tiempo, contando con un gran número de co

C++ builder 5 (Programacion Con / Programming With) (Spanish Edition)

Programming Languages

Anaya Multimedia-Anaya Interactiva

Ensamblador. Edición 2009 (Spanish Edition)

Anaya Multimedia

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