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Advances in Feature Selection for Data and Pattern Recognition

Edición de Lakhmi C. Jain, Urszula Stańczyk, Beata Zielosko ...

Series series Engineering (R0)
This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of latest advances.The field of feature selection is evolving constantly, providing numerous new algorithms, new solutions, and new applications. Some of the advances presented focus on theoretical approaches, introducing novel propositions ... Leer más

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This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of latest advances.The field of feature selection is evolving constantly, providing numerous new algorithms, new solutions, and new applications. Some of the advances presented focus on theoretical approaches, introducing novel propositions
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Feature Selection for Data and Pattern Recognition

Edición de Urszula Stańczyk, Lakhmi C. Jain ...

Series series Engineering (R0)
This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition.Even though it has been the subject of interest for some time, feature selection remains one of actively pursued avenues of investigations due to its importance and bearing upon other problems and ... Leer más

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This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition.Even though it has been the subject of interest for some time, feature selection remains one of actively pursued avenues of investigations due to its importance and bearing upon other problems and
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Data Matching

Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection

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Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same entities from several databases or even within one database. Based on research in various domains including applied statistics, health informatics, data mining, machine learning, artificial ... Leer más

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Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same entities from several databases or even within one database. Based on research in various domains including applied statistics, health informatics, data mining, machine learning, artificial
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Machine Learning in Complex Networks

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This book presents the features and advantages offered by complex networks in the machine learning domain. In the first part, an overview on complex networks and network-based machine learning is presented, offering necessary background material. In the second part, we describe in details some specific techniques based on complex networks for supervised, non-supervised, and semi-supervised ... Leer más

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Neural Networks and Statistical Learning

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Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content.Each of ... Leer más

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Machine Learning, Optimization, and Big Data

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Series series Springer Nature Proceedings Computer Science
This book constitutes revised selected papers from the Second International Workshop on Machine Learning, Optimization, and Big Data, MOD 2016, held in Volterra, Italy, in August 2016.The 40 papers presented in this volume were carefully reviewed and selected from 97 submissions. These proceedings contain papers in the fields of Machine Learning, Computational Optimization and DataScience ... Leer más

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This book constitutes the refereed proceedings of the 5th InternationalConference on Statistical Language and Speech Processing, SLSP 2017,held in Le Mans, France, in October 2017.The 21 full papers presented were carefully reviewed and selected from39 submissions. The papers cover topics such as anaphora and conferenceresolution; authorship identification, plagiarism and spam filtering;computer ... Leer más

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