KI-Beratung Beta

  • Produktbild: Machine Learning, Optimization, and Data Science
  • Produktbild: Machine Learning, Optimization, and Data Science
Band 14506 - 10%

Machine Learning, Optimization, and Data Science 9th International Conference, LOD 2023, Grasmere, UK, September 22–26, 2023, Revised Selected Papers, Part II

10% sparen

76,99 € UVP 85,59 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

15.02.2024

Abbildungen

XXII, 483 p. 152 illus., 123 illus. in color.

Herausgeber

Giuseppe Nicosia + weitere

Verlag

Springer

Seitenzahl

483

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

762 g

Auflage

1st ed. 2024

Sprache

Englisch

ISBN

978-3-031-53965-7

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

15.02.2024

Abbildungen

XXII, 483 p. 152 illus., 123 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

483

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

762 g

Auflage

1st ed. 2024

Sprache

Englisch

ISBN

978-3-031-53965-7

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

Ein neues Kapitel für Ihre Bücher

Ein neues Kapitel für Ihre Bücher

Schenken Sie Ihren alten Schätzen ein zweites Leben und erhalten Sie dafür eine Thalia Geschenkkarte.

Jetzt verkaufen
Jetzt verkaufen

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

  • Produktbild: Machine Learning, Optimization, and Data Science
  • Produktbild: Machine Learning, Optimization, and Data Science
  • Integrated Human-AI Forecasting for Preventive Maintenance Task Duration Estimation.- Exploring Image Transformations with Diffusion Models: A Survey of Applications and Implementation Code.- Geolocation Risk Scores for Credit Scoring Models.- Social Media Analysis: The Relationship between Private Investors and Stock Price.- Deep learning model of two-phase fluid transport through fractured media: a real-world case study.- A Proximal Algorithm for Network Slimming.- Diversity in deep generative models and generative AI.- Improving Portfolio Performance Using a Novel Method for Predicting Financial Regimes.- kolopoly: Case Study on Large Action Spaces in Reinforcement Learning.- Alternating mixed-integer programming and neural network training for approximating stochastic two-stage problems.- Heaviest and densest subgraph computation for binary classification. A case study.- SMBOX: A Scalable and Efficient Method for Sequential Model-Based Parameter Optimization.- Accelerated Graph Integration with Approximation of Combining Parameters.- Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison.- A hybrid steady-state genetic algorithm for the minimum conflict spanningtree problem.- Reinforcement learning for multi-neighborhood local search in combinatorial optimization.- Evaluation of Selected Autoencoders in the Context of End-User Experience Management.- Application of multi-agent reinforcement learning to the dynamic scheduling problem in manufacturing systems.- Solving Mixed Influence Diagrams by Reinforcement Learning.- Multi-Scale Heat Kernel Graph Network for Graph Classification.- Accelerating Random Orthogonal Search for Global Optimization using Crossover.- A Multiclass Robust Twin Parametric Margin Support Vector Machine with an Application toVehicles Emissions.- LSTM noise robustness: a case study for heavy vehicles.- Ensemble Clustering for Boundary Detection in High-Dimensional Data.- Learning Graph Configuration Spaces with Graph Embedding in Engineering Domains.- Towards an Interpretable Functional Image-Based Classifier: Dimensionality.- Reduction of High-Density Di use Optical Tomography Data.- On Ensemble Learning for Mental Workload Classification.- Decision-making over compact preference structures.- User-Like Bots for Cognitive Automation: A Survey.- On Channel Selection for EEG-based Mental Workload Classification.- What Song Am I Thinking Of.- Path-Weights and Layer-Wise Relevance Propagation for Explainability of ANNs with fMRI Data.- Sensitivity Analysis for Feature Importance in Predicting Alzheimer?s Disease.- A Radically New Theory of how the Brain Represents and Computes with Probabilities.