Tous les ebooks de la collection "Unsupervised and Semi-Supervised Learning" - Springer

12 Livre(s)
Télécharger le livre : Partitional Clustering via Nonsmooth Optimization
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Partitional Clustering via Nonsmooth Optimization
Adil Bagirov , Napsu Karmitsa , Sona Taheri
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...

Editeur : Springer
Parution : 2024-12-16
Collection : Unsupervised and Semi-Supervised Learning
PDF, ePub

147,69 €
Télécharger le livre : Advances in Computational Logistics and Supply Chain Analytics
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Advances in Computational Logistics and Supply Chain Analytics
Ibraheem Alharbi , Bader Alyoubi , Chiheb-Eddine Ben Ncir , Hajer Ben-Romdhane
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...

Editeur : Springer
Parution : 2024-03-20
Collection : Unsupervised and Semi-Supervised Learning
PDF, ePub

126,59 €
Télécharger le livre : Machine Learning and Data Analytics for Solving Business Problems
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Machine Learning and Data Analytics for Solving Business Problems
Ibraheem Alharbi , Bader Alyoubi , Chiheb-Eddine Ben Ncir , Anis Jarboui
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...

Editeur : Springer
Parution : 2022-12-15
Collection : Unsupervised and Semi-Supervised Learning
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158,24 €
Télécharger le livre : Hidden Markov Models and Applications
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Hidden Markov Models and Applications
Manar Amayri , Nizar Bouguila , Wentao Fan
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...

Editeur : Springer
Parution : 2022-05-19
Collection : Unsupervised and Semi-Supervised Learning
PDF, ePub

126,59 €
Télécharger le livre : Partitional Clustering via Nonsmooth Optimization
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Partitional Clustering via Nonsmooth Optimization
Napsu Karmitsa , Adil M. Bagirov , Sona Taheri
This 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...

Editeur : Springer
Parution : 2020-02-24
Collection : Unsupervised and Semi-Supervised Learning
PDF, ePub

94,94 €
Télécharger le livre : Deep Biometrics
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Deep Biometrics
Collectif
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...

Editeur : Springer
Parution : 2020-01-28
Collection : Unsupervised and Semi-Supervised Learning
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126,59 €
Télécharger le livre : Sampling Techniques for Supervised or Unsupervised Tasks
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Sampling Techniques for Supervised or Unsupervised Tasks
Serge Guillaume , Frédéric Ros
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...

Editeur : Springer
Parution : 2019-10-26
Collection : Unsupervised and Semi-Supervised Learning
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116,04 €
Télécharger le livre : Supervised and Unsupervised Learning for Data Science
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Supervised and Unsupervised Learning for Data Science
Michael W. Berry , Azlinah Mohamed , Bee Wah Yap
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...

Editeur : Springer
Parution : 2019-09-04
Collection : Unsupervised and Semi-Supervised Learning
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94,94 €
Télécharger le livre : Mixture Models and Applications
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Mixture Models and Applications
Nizar Bouguila , Wentao Fan
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...

Editeur : Springer
Parution : 2019-08-13
Collection : Unsupervised and Semi-Supervised Learning
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94,94 €
Télécharger le livre : Linking and Mining Heterogeneous and Multi-view Data
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Linking and Mining Heterogeneous and Multi-view Data
Anna Jurek-Loughrey , Deepak P
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...

Editeur : Springer
Parution : 2018-12-13
Collection : Unsupervised and Semi-Supervised Learning
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126,59 €
Télécharger le livre : Natural Computing for Unsupervised Learning
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Natural Computing for Unsupervised Learning
Xiangtao Li , Ka-Chun Wong
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...

Editeur : Springer
Parution : 2018-10-31
Collection : Unsupervised and Semi-Supervised Learning
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94,94 €
Télécharger le livre : Clustering Methods for Big Data Analytics
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Clustering Methods for Big Data Analytics
Chiheb-Eddine Ben N'cir , Olfa Nasraoui
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...

Editeur : Springer
Parution : 2018-10-27
Collection : Unsupervised and Semi-Supervised Learning
PDF, ePub

147,69 €