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Ensembles in Machine Learning Applications

(SUEMA) that was held in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery;

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Medical Image Computing and Computer Assisted Intervention - MICCAI 2021

papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised;

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Advances in Machine Learning Applications in Software Engineering

Machine learning is the study of building computer programs that improve their performance through experience. To meet the challenge;

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Practical Machine Learning with Rust

Explore machine learning in Rust and learn about the intricacies of creating machine learning applications. This book begins by covering;

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Data Classification

insight on variations of the classification process. It discusses ensembles, rare-class learning, distance function learning, active learning;

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Data Classification

concludes with insight on variations of the classification process. It discusses ensembles, rare-class learning, distance function learning, active;

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Beginning Machine Learning in iOS

Implement machine learning models in your iOS applications. This short work begins by reviewing the primary principals of machine learning;

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Multiple Fuzzy Classification Systems

combined in ensembles. Such ensembles consist of a finite set of learning models, usually weak learners. The present book discusses the three;

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Metalearning: Applications to Automated Machine Learning and Data Mining

This open access book offers a comprehensive and thorough introduction to almost all aspects of metalearning and automated machine learning;

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Practical Machine Learning with Rust

"Explore machine learning in Rust and learn about the intricacies of creating machine learning applications"--;

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Machine Learning Theoretical Foundations and Practical Applications

in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network;

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Machine Learning with SAP

Work smarter with machine learning! Begin with core machine learning concepts-types of learning, algorithms, data preparation, and more;

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Machine Learning in Industry

This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep;

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Machine Learning Paradigm for Internet of Things Applications

MACHINE LEARNING PARADIGM FOR INTERNET OF THINGS APPLICATIONS As companies globally realize the revolutionary potential of the IoT, they;

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Machine Learning and the Internet of Medical Things in Healthcare

Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for;

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Machine Learning

Machine Learning: Concepts, Methodologies, Tools, and Applications offers a wide-ranging selection of key research in a complex field;

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Applied Machine Learning for Smart Data Analysis

The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements;

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Cybernetics Cognition and Machine Learning Applications

Machine Learning Applications (ICCCMLA 2020), held in August, 2020 at Goa, India. It covers the latest research trends or developments in areas;

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Genetic Programming for Image Classification

This book offers several new GP approaches to feature learning for image classification. Image classification is an important task;

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Genetic Programming for Image Classification

This book offers several new GP approaches to feature learning for image classification. Image classification is an important task;

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Machine Learning Systems

Machine learning applications autonomously reason about data at massive scale. It's important that they remain responsive in the face;

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Machine Learning and Cognitive Science Applications in Cyber Security

variety of sources have been exposed to possible corruption and hacking. Machine learning, artificial intelligence, predictive analytics, and;

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Machine Learning Applications

The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have;

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MATLAB Machine Learning Recipes

Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies;

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MATLAB Machine Learning Recipes

Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies;

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Cybernetics Cognition and Machine Learning Applications

This book provides a collection of selected papers presented at the International Conference on Cybernetics, Cognition and Machine Learning;

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Signal Processing and Machine Learning with Applications

Learning with Applications presents methods that are used to perform various Machine Learning and Artificial Intelligence tasks in conjunction with;

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