Unsupervised and Semi-Supervised Learning – serie
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28 produkter
Linking and Mining Heterogeneous and Multi-view Data
Av Deepak P, Anna Jurek-Loughrey
Inbunden, 2019
1467 kr
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This book highlights research in linking and mining data from across varied data sources. The authors focus on recent advances in this burgeoning field of multi-source data fusion, with an emphasis on exploratory and unsupervised data analysis, an area of increasing significance with the pace of …
Clustering Methods for Big Data Analytics
Techniques, Toolboxes and Applications
Av Olfa Nasraoui, Chiheb-Eddine Ben N'Cir
Häftad, 2019
1643 kr
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This book highlights the state of the art and recent advances in Big Data clustering methods and their innovative applications in contemporary AI-driven systems. The book chapters discuss Deep Learning for Clustering, Blockchain data clustering, Cybersecurity applications such as insider threat …
Natural Computing for Unsupervised Learning
Häftad, 2018
1098 kr
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This book highlights recent research advances in unsupervised learning using natural computing techniques such as artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, artificial life, quantum computing, DNA computing, and others. The book also includes …
Supervised and Unsupervised Learning for Data Science
Av Michael W. Berry, Azlinah Mohamed m. fl.
Inbunden, 2019
1098 kr
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This book covers the state of the art in learning algorithms with an inclusion of semi-supervised methods to provide a broad scope of clustering and classification solutions for big data applications. Case studies and best practices are included along with theoretical models of learning for a …
Supervised and Unsupervised Learning for Data Science
Av Michael W. Berry, Azlinah Mohamed m. fl.
Häftad, 2020
1098 kr
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This book covers the state of the art in learning algorithms with an inclusion of semi-supervised methods to provide a broad scope of clustering and classification solutions for big data applications. Case studies and best practices are included along with theoretical models of learning for a …
Mixture Models and Applications
Inbunden, 2019
1098 kr
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This book focuses on recent advances, approaches, theories and applications related to mixture models. In particular, it presents recent unsupervised and semi-supervised frameworks that consider mixture models as their main tool. The chapters considers mixture models involving several interesting …
Mixture Models and Applications
Häftad, 2020
1098 kr
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This book focuses on recent advances, approaches, theories and applications related to mixture models. In particular, it presents recent unsupervised and semi-supervised frameworks that consider mixture models as their main tool. The chapters considers mixture models involving several interesting …
Sampling Techniques for Supervised or Unsupervised Tasks
Av Frédéric Ros, Serge Guillaume
Inbunden, 2019
1261 kr
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This book describes in detail sampling techniques that can be used for unsupervised and supervised cases, with a focus on sampling techniques for machine learning algorithms. It covers theory and models of sampling methods for managing scalability and the “curse of dimensionality”, their …
Sampling Techniques for Supervised or Unsupervised Tasks
Av Frédéric Ros, Serge Guillaume
Häftad, 2020
1261 kr
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This book describes in detail sampling techniques that can be used for unsupervised and supervised cases, with a focus on sampling techniques for machine learning algorithms. It covers theory and models of sampling methods for managing scalability and the “curse of dimensionality”, their …
Deep Biometrics
Av Richard Jiang, Chang-Tsun Li m. fl.
Inbunden, 2020
1425 kr
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This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it “Deep Biometrics”. The book aims to highlight recent developments in biometrics using semi-supervised and unsupervised methods such as Deep Neural Networks, Deep Stacked Autoencoder, …
Deep Biometrics
Av Richard Jiang, Chang-Tsun Li m. fl.
Häftad, 2021
1425 kr
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This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it “Deep Biometrics”. The book aims to highlight recent developments in biometrics using semi-supervised and unsupervised methods such as Deep Neural Networks, Deep Stacked Autoencoder, …
Hidden Markov Models and Applications
Av Nizar Bouguila, Wentao Fan m. fl.
Inbunden, 2022
1425 kr
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This book focuses on recent advances, approaches, theories, and applications related Hidden Markov Models (HMMs). In particular, the book presents recent inference frameworks and applications that consider HMMs. The authors discuss challenging problems that exist when considering HMMs for a …
Hidden Markov Models and Applications
Av Nizar Bouguila, Wentao Fan m. fl.
Häftad, 2023
1425 kr
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This book focuses on recent advances, approaches, theories, and applications related Hidden Markov Models (HMMs). In particular, the book presents recent inference frameworks and applications that consider HMMs. The authors discuss challenging problems that exist when considering HMMs for a …
Machine Learning and Data Analytics for Solving Business Problems
Methods, Applications, and Case Studies
Av Bader Alyoubi, Chiheb-Eddine Ben Ncir m. fl.
Inbunden, 2022
1752 kr
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This book presents advances in business computing and data analytics by discussing recent and innovative machine learning methods that have been designed to support decision-making processes. These methods form the theoretical foundations of intelligent management systems, which allows for …
Machine Learning and Data Analytics for Solving Business Problems
Methods, Applications, and Case Studies
Av Bader Alyoubi, Chiheb-Eddine Ben Ncir m. fl.
Häftad, 2023
1752 kr
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This book presents advances in business computing and data analytics by discussing recent and innovative machine learning methods that have been designed to support decision-making processes. These methods form the theoretical foundations of intelligent management systems, which allows for …
Feature and Dimensionality Reduction for Clustering with Deep Learning
Inbunden, 2024
1316 kr
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This book presents an overview of recent methods of feature selection and dimensionality reduction that are based on Deep Neural Networks (DNNs) for a clustering perspective, with particular attention to the knowledge discovery question. The authors first present a synthesis of the major recent …
Feature and Dimensionality Reduction for Clustering with Deep Learning
Häftad, 2025
1306 kr
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This book presents an overview of recent methods of feature selection and dimensionality reduction that are based on Deep Neural Networks (DNNs) for a clustering perspective, with particular attention to the knowledge discovery question. The authors first present a synthesis of the major recent …
Advances in Computational Logistics and Supply Chain Analytics
Av Ibraheem Alharbi, Chiheb-Eddine Ben Ncir m. fl.
Inbunden, 2024
1425 kr
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This book provides advances in computational logistics and supply chain analytics. The authors include innovative data-driven and learning-based approaches, methods, algorithms, techniques, and tools that have been designed or applied to create and implement a successful logistics and supply chain …
Advances in Computational Logistics and Supply Chain Analytics
Av Ibraheem Alharbi, Chiheb-Eddine Ben Ncir m. fl.
Häftad, 2025
1425 kr
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This book provides advances in computational logistics and supply chain analytics. The authors include innovative data-driven and learning-based approaches, methods, algorithms, techniques, and tools that have been designed or applied to create and implement a successful logistics and supply chain …
Unsupervised Feature Extraction Applied to Bioinformatics
A PCA Based and TD Based Approach
Av Y-h. Taguchi
Inbunden, 2024
2178 kr
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This updated book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case …
Unsupervised Feature Extraction Applied to Bioinformatics
A PCA Based and TD Based Approach
Av Y-h. Taguchi
Häftad, 2025
1752 kr
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This updated book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case …
Super-Resolution for Remote Sensing
Av Michal Kawulok, Jolanta Kawulok m. fl.
Inbunden, 2024
1316 kr
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This book provides a comprehensive perspective over the landscape of super-resolution techniques developed for and applied to remotely-sensed images. The chapters tackle the most important problems that professionals face when dealing with super-resolution in the context of remote sensing. These …
Super-Resolution for Remote Sensing
Av Michal Kawulok, Jolanta Kawulok m. fl.
Häftad, 2025
1316 kr
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This book provides a comprehensive perspective over the landscape of super-resolution techniques developed for and applied to remotely-sensed images. The chapters tackle the most important problems that professionals face when dealing with super-resolution in the context of remote sensing. These …
Partitional Clustering via Nonsmooth Optimization
Clustering via Optimization
Av Adil Bagirov, Napsu Karmitsa m. fl.
Inbunden, 2024
1534 kr
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This updated book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering …
Partitional Clustering via Nonsmooth Optimization
Clustering via Optimization
Av Adil Bagirov, Napsu Karmitsa m. fl.
Häftad, 2025
1534 kr
Lägg i varukorg
This updated book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering …
Innovations in Computational Logistics and Supply Chain Analytics
Theories, Methods, and Applications
Av Ibraheem Alharbi, Chiheb-Eddine Ben Ncir m. fl.
Inbunden, 2026
1907 kr
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This book discusses advances in computational logistics and supply chain analytics. The book includes innovative data-driven and learning-based approaches, methods, algorithms, techniques, and tools that have been designed or applied to create and implement a successful logistics and supply chain …
Clustering Methods for Big Data Analytics
Techniques, Toolboxes and Applications
Av Olfa Nasraoui, Chiheb-Eddine Ben N'Cir
Inbunden, 2018
1692 kr
Lägg i varukorg
This book highlights the state of the art and recent advances in Big Data clustering methods and their innovative applications in contemporary AI-driven systems. The book chapters discuss Deep Learning for Clustering, Blockchain data clustering, Cybersecurity applications such as insider threat …
Natural Computing for Unsupervised Learning
Inbunden, 2018
1098 kr
Lägg i varukorg
This book highlights recent research advances in unsupervised learning using natural computing techniques such as artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, artificial life, quantum computing, DNA computing, and others. The book also includes …
