Vor Ort
Merkzettel Warenkorb
  • Produktbild: Machine Learning, Optimization, and Data Science
  • Produktbild: Machine Learning, Optimization, and Data Science
Band 13810

Machine Learning, Optimization, and Data Science 8th International Conference, LOD 2022, Certosa di Pontignano, Italy, September 18–22, 2022, Revised Selected Papers, Part I

Aus der Reihe Lecture Notes in Computer Science

89,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

09.03.2023

Herausgeber

Giuseppe Nicosia + weitere

Verlag

Springer

Seitenzahl

616

Maße (L/B/H)

23,5/15,5/3,5 cm

Gewicht

955 g

Auflage

1st edition 2023

Sprache

Englisch

ISBN

978-3-031-25598-4

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

09.03.2023

Herausgeber

Verlag

Springer

Seitenzahl

616

Maße (L/B/H)

23,5/15,5/3,5 cm

Gewicht

955 g

Auflage

1st edition 2023

Sprache

Englisch

ISBN

978-3-031-25598-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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
  • Explainable Machine Learning for Drug Shortage Prediction in a Pandemic Setting.- Intelligent Robotic Process Automation for Supplier Document Management on E-Procurement Platforms.- Batch Bayesian Quadrature with Batch Updating Using Future Uncertainty Sampling.- Sensitivity analysis of Engineering Structures Utilizing Artificial Neural Networks and Polynomial.- Inferring Pathological Metabolic Patterns in Breast Cancer Tissue from Genome-Scale Models.- Deep Learning.- Machine Learning.- Reinforcement Learning.- Neural Networks.- Deep Reinforcement Learning.- Optimization.- Global Optimization.- Multi-Objective Optimization.- Computational Optimization.- Data Science.- Big Data.- Data Analytics.- Artificial Intelligence.- Detection of Morality in Tweets based on the Moral Foundation Theory.- Matrix completion for the prediction of yearly country and industry-level CO2 emissions.- A Benchmark for Real-Time Anomaly Detection Algorithms Applied in Industry 4.0.- A Matrix Factorization-based Drug-virus Link Prediction Method for SARS CoV.- Drug Prioritization.- Hyperbolic Graph Codebooks.- A Kernel-Based Multilayer Perceptron Framework to Identify Pathways Related to Cancer Stages.- Loss Function with Memory for Trustworthiness Threshold Learning: Case of Face and Facial Expression Recognition.- Machine learning approaches for predicting Crystal Systems: a brief review and a case study.- LS-PON: a Prediction-based Local Search for Neural Architecture Search.- Local optimisation of Nystrm samples through stochastic gradient descent.- Explainable Machine Learning for Drug Shortage Prediction in a Pandemic Setting.- Intelligent Robotic Process Automation for Supplier Document Management on E-Procurement Platforms.- Batch Bayesian Quadrature with Batch Updating Using Future Uncertainty Sampling.- Sensitivity analysis of Engineering Structures Utilizing Artificial Neural Networks and Polynomial.- Inferring Pathological Metabolic Patterns in Breast Cancer Tissue from Genome-Scale Models.- Deep Learning.- Machine Learning.- Reinforcement Learning.- Neural Networks.- Deep Reinforcement Learning.- Optimization.- Global Optimization.- Multi-Objective Optimization.- Computational Optimization.- Data Science.- Big Data.- Data Analytics.- Artificial Intelligence.