Aller au contenu principal
EAAGUNE
  • eu
  • es
  • en
  • fr

Menú Secundario

  • Toutes les capacités
  • À propos d’ EAAgune
  • Nouvelles
  • Contact

Main Menu ES

  • Carte de formation
  • Carte de recherche
  • Carte des équipements
  • RIS3
  • Cartes des portées
    • Carte de génération
    • Carte d’application
    • Carte d’habilitation

Machine Learning

Grupo Investigación UPV-EHU BCAM LOZANO, JOSE ANTONIO projectsoffice@bcamath.org Knowledge representation Causal reasoning Planning and Scheduling Searching Optimization Machine learning (general) Supervised learning Weakly supervised learning/learning over singular problems Unsupervised learning Reinforced learning Multi-task learning Classification and regression trees Deep learning Probabilistic graphical models Instance-based learning Learning from streams Times series Learning over graphs Latent representation Bio-inspired approaches Learning to rank Computer vision (general) Biometrics Character recognition Speech recognition Connected and Automated vehicles Agriculture Banking and Finance Business Energy management Industry and manufacturing Life and medical sciences Networks Physical sciences and engineering Security Telecommunications Transportation Sensing data Interpretability & Explainability Privacy & Anonymity Ethics & Fairness Biases Security & Cybersecurity Intelligent Industry Cleaner Energies Personalized Health Sustainable Cities Healthy Aging Electric Mobility 1846 Generation Aplication RIS3 Enablement Reasoning Planning Machine learning Perception: Computer vision Perception: Audio processing Integration & Interaction Strategic Priorities Opportunity Territories Transversal Driving Initiatives http://www.bcamath.org/en/research/lines/ML

© 2021 EAAgune. Aviso legal  Política de privacidad  Política de cookies

by ACC