Deep learning theory and applications Part 2
Geometrical Realization for Time Series Forecasting.- Brains over Brawn: Small AI Labs in the Age of Datacenter-Scale Compute.- Time Series Prediction for Anomalies Detection in Concentrating Solar Power Plants Using Long Short-Term Memory N Networks.- Bayes Classification Using an Approximation to...
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| Weitere Verfasser: | , , , |
| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Cham
Springer
2024
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| Schriftenreihe: | Communications in computer and information science
2172 |
| Schlagworte: |
Angewandte Informatik
> COM094000
> COMPUTERS / Computer Science
> COMPUTERS / Database Management / Data Mining
> COMPUTERS / Expert Systems
> COMPUTERS / Natural Language Processing
> Data Mining
> Data mining
> Expert systems / knowledge-based systems
> Information technology: general issues
> Machine learning
> Maschinelles Lernen
> Natural language & machine translation
> Natürliche Sprachen und maschinelle Übersetzung
> Wissensbasierte Systeme, Expertensysteme
> Konferenzschrift
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| Online Zugang: | Cover |
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| Titel | Jahr | Band |
|---|---|---|
| Deep learning theory and applications Part 1 | 2024 | 2171 |
| Deep learning theory and applications Part 2 | 2024 | 2172 |