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Multilabel Classification: Problem Analysis, Metrics and Techniques, Herrera Francisco, Charte Francisco, Rivera Antonio J.


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Цена: 13974.00р.
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Автор: Herrera Francisco, Charte Francisco, Rivera Antonio J.
Название:  Multilabel Classification: Problem Analysis, Metrics and Techniques
ISBN: 9783319822693
Издательство: Springer
Классификация:

ISBN-10: 3319822691
Обложка/Формат: Paperback
Страницы: 194
Вес: 0.30 кг.
Дата издания: 22.04.2018
Язык: English
Издание: Softcover reprint of
Иллюстрации: 72 illustrations, black and white; xvi, 194 p. 72 illus.
Размер: 23.39 x 15.60 x 1.14 cm
Читательская аудитория: General (us: trade)
Подзаголовок: Problem analysis, metrics and techniques
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Introduction.- Multilabel Classification.- Case Studies and Metrics.- Transformation based Classifiers.- Adaptation based Classifiers.- Ensemble based Classifiers.- Dimensionality Reduction.- Imbalance in Multilabel Datasets.- Multilabel Software.


Multilabel Classification

Автор: Herrera
Название: Multilabel Classification
ISBN: 3319411101 ISBN-13(EAN): 9783319411101
Издательство: Springer
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Цена: 18167.00 р.
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Описание:

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.
Harmonic Quasiconformal Mappings and Hyperbolic Type Metrics

Автор: Vesna Todor?evi?
Название: Harmonic Quasiconformal Mappings and Hyperbolic Type Metrics
ISBN: 3030225909 ISBN-13(EAN): 9783030225902
Издательство: Springer
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Цена: 9083.00 р.
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Описание: The book presents a research area in geometric function theory concerned with harmonic quasiconformal mappings and hyperbolic type metrics defined on planar and multidimensional domains. The classes of quasiconformal and quasiregular mappings are well established areas of study in this field as these classes are natural and fruitful generalizations of the class of analytic functions in the planar case. The book contains many concrete examples, as well as detailed proofs and explanations of motivations behind given results, gradually bringing the reader to the forefront of current research in the area. This monograph was written for a wide readership from graduate students of mathematical analysis to researchers working in this or related areas of mathematics who want to learn the tools or work on open problems listed in various parts of the book.

Perceptual Metrics for Image Database Navigation

Автор: Yossi Rubner; Carlo Tomasi
Название: Perceptual Metrics for Image Database Navigation
ISBN: 1441948635 ISBN-13(EAN): 9781441948632
Издательство: Springer
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Цена: 29209.00 р.
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All the News That`s Fit to Click: How Metrics Are Transforming the Work of Journalists

Автор: Petre Caitlin
Название: All the News That`s Fit to Click: How Metrics Are Transforming the Work of Journalists
ISBN: 0691177643 ISBN-13(EAN): 9780691177649
Издательство: Wiley
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Цена: 4435.00 р.
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Описание:

From the New York Times to Gawker, a behind-the-scenes look at how performance analytics are transforming journalism today--and how they might remake other professions tomorrow

Journalists today are inundated with data about which stories attract the most clicks, likes, comments, and shares. These metrics influence what stories are written, how news is promoted, and even which journalists get hired and fired. Do metrics make journalists more accountable to the public? Or are these data tools the contemporary equivalent of a stopwatch wielded by a factory boss, worsening newsroom working conditions and journalism quality? In All the News That's Fit to Click, Caitlin Petre takes readers behind the scenes at the New York Times, Gawker, and the prominent news analytics company Chartbeat to explore how performance metrics are transforming the work of journalism.

Petre describes how digital metrics are a powerful but insidious new form of managerial surveillance and discipline. Real-time analytics tools are designed to win the trust and loyalty of wary journalists by mimicking key features of addictive games, including immersive displays, instant feedback, and constantly updated "scores" and rankings. Many journalists get hooked on metrics--and pressure themselves to work ever harder to boost their numbers.

Yet this is not a simple story of managerial domination. Contrary to the typical perception of metrics as inevitably disempowering, Petre shows how some journalists leverage metrics to their advantage, using them to advocate for their professional worth and autonomy.

An eye-opening account of data-driven journalism, All the News That's Fit to Click is also an important preview of how the metrics revolution may transform other professions.

Metrics of Sensory Motor Coordination and Integration in Robots and Animals

Автор: Fabio Bonsignorio; Elena Messina; Angel P. del Pob
Название: Metrics of Sensory Motor Coordination and Integration in Robots and Animals
ISBN: 3030141241 ISBN-13(EAN): 9783030141240
Издательство: Springer
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Цена: 13974.00 р.
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Описание:

This book focuses on a critical issue in the study of physical agents, whether natural or artificial: the quantitative modelling of sensory–motor coordination.
Adopting a novel approach, it defines a common scientific framework for both the intelligent systems designed by engineers and those that have evolved naturally. As such it contributes to the widespread adoption of a rigorous quantitative and refutable approach in the scientific study of ‘embodied’ intelligence and cognition.
More than 70 years after Norbert Wiener’s famous book Cybernetics: or Control and Communication in the Animal and the Machine (1948), robotics, AI and life sciences seem to be converging towards a common model of what we can call the ‘science of embodied intelligent/cognitive agents’.
This book is interesting for an interdisciplinary community of researchers, technologists and entrepreneurs working at the frontiers of robotics and AI, neuroscience and general life and brain sciences.
Computer Vision Metrics: Survery, Taxonomy and Analysis of Computer Vision, Visual Neuroscience, and Deep Learning

Автор: Krig Scott
Название: Computer Vision Metrics: Survery, Taxonomy and Analysis of Computer Vision, Visual Neuroscience, and Deep Learning
ISBN: 3319815954 ISBN-13(EAN): 9783319815954
Издательство: Springer
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Цена: 11179.00 р.
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Описание: Based on the successful 2014 book published by Apress, this textbook edition is expanded to provide a comprehensive history and state-of-the-art survey for fundamental computer vision methods and deep learning.

Evaluative Informetrics: The Art of Metrics-Based Research Assessment: Festschrift in Honour of Henk F. Moed

Автор: Daraio Cinzia, Glдnzel Wolfgang
Название: Evaluative Informetrics: The Art of Metrics-Based Research Assessment: Festschrift in Honour of Henk F. Moed
ISBN: 3030476642 ISBN-13(EAN): 9783030476649
Издательство: Springer
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Цена: 13974.00 р.
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Описание: We intend to edit a Festschrift for Henk Moed combining a "best of" collection of his papers and new contributions (original research papers) by authors having worked and collaborated with him.

Eeg Signal Analysis and Classification: Techniques and Applications

Автор: Siuly Siuly, Li Yan, Zhang Yanchun
Название: Eeg Signal Analysis and Classification: Techniques and Applications
ISBN: 3319837915 ISBN-13(EAN): 9783319837918
Издательство: Springer
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Цена: 16838.00 р.
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Описание: This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals: detection of epileptic seizures and identification of mental states in brain computer interface (BCI) systems.


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