Multi-instance multi-label classification – Bücher zum Thema Multi-instance multi-label classification finden und kaufen

Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez-Tarragó, Sarah Vluymans
Springer International Publishing
106.99 € · Hardcover

Machine learning Data mining Multiple instance learning Multiple instance classification Multiple instance regression Multiple instance clustering Instance selection in multiple instance learning Dimensionality reduction Feature selection in multiple instance learning Multi-instance learning from imbalanced data Data reduction in multiple instance learning Multi-instance multi-label classification algorithm analysis and problem complexity

This book provides a general overview of multiple instance learning (MIL), defining the framework and covering the central paradigms. The authors discuss the most important algorithms for MIL such as classification, regression and clustering. With a focus on classification, a taxonomy is set and the...

Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods

Sarah Vluymans
Springer International Publishing
106.99 € · Hardcover

Computational Intelligence OWA Ordered Weighted Average Classification Multi-Instance Learning Multi-Label Learning

This book presents novel classification algorithms for four challenging prediction tasks, namely learning from imbalanced, semi-supervised, multi-instance and multi-label data. The methods are based on fuzzy rough set theory, a mathematical framework used to model uncertainty in data. The book makes...

Multiple Instance Learning

Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez-Tarragó, Sarah Vluymans
Springer International Publishing
96.29 € · eBook

Machine learning Data mining Multiple instance learning Multiple instance classification Multiple instance regression Multiple instance clustering Instance selection in multiple instance learning Dimensionality reduction Feature selection in multiple instance learning Multi-instance learning from imbalanced data Data reduction in multiple instance learning Multi-instance multi-label classification algorithm analysis and problem complexity

This book provides a general overview of multiple instance learning (MIL), defining the framework and covering the central paradigms. The authors discuss the most important algorithms for MIL such as classification, regression and clustering. With a focus on classification, a taxonomy is set and the...

Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods

Sarah Vluymans
Springer International Publishing
96.29 € · eBook

Computational Intelligence OWA Ordered Weighted Average Classification Multi-Instance Learning Multi-Label Learning

This book presents novel classification algorithms for four challenging prediction tasks, namely learning from imbalanced, semi-supervised, multi-instance and multi-label data. The methods are based on fuzzy rough set theory, a mathematical framework used to model uncertainty in data. The book makes...

Multiple Instance Learning

Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez-Tarragó, Sarah Vluymans
Springer International Publishing
106.99 € · Paperback

Machine learning Data mining Multiple instance learning Multiple instance classification Multiple instance regression Multiple instance clustering Instance selection in multiple instance learning Dimensionality reduction Feature selection in multiple instance learning Multi-instance learning from imbalanced data Data reduction in multiple instance learning Multi-instance multi-label classification algorithm analysis and problem complexity

This book provides a general overview of multiple instance learning (MIL), defining the framework and covering the central paradigms. The authors discuss the most important algorithms for MIL such as classification, regression and clustering. With a focus on classification, a taxonomy is set and the...

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