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£99.63
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Springer Multiview Machine Learning - Springer Data Fusion Guide
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Description
Key Features
Multiview Machine Learning by Springer covers models and algorithms specifically designed for multiview learning applications in real-world data analysis.
Incorporates multiple feature sets and data fusion techniques to improve generalization performance across machine learning tasks.
Self-contained format makes the book accessible for multi-modal learning research with minimal prerequisite knowledge required.
Combines strong theoretical underpinnings with practical success stories, demonstrating the effectiveness of multiview learning approaches.
Ideal resource for data integration and fusion projects where combining multiple views yields superior model results.
Product Specifications
- Brand
- Springer
- Format
- hardcover
- ASIN
- 981133028X
- Domain
- Amazon UK
- Release Date
- 17 January 2019
- Listed Since
- 20 September 2018
Barcode
No barcode data available
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