A Cloud-Based Framework for Machine Learning Workloads and Applications.
Álvaro López GarcíaViet D. TranAndy S. AlicMiguel CaballerIsabel Campos PlasenciaAlessandro CostantiniStefan DlugolinskyDoina Cristina DumaGiacinto DonvitoJorge GomesIgnacio Heredia CachaJesús E. Marco de LucasKeiichi ItoValentin KozlovGiang T. NguyenPablo Orviz FernándezZdenek SustrPawel WolniewiczMarica AntonacciWolfgang zu CastellMário DavidMarcus HardtLara Lloret IglesiasGermán MoltóMarcin PlóciennikPublished in: IEEE Access (2020)
Keyphrases
- machine learning
- main contribution
- artificial intelligence
- feature selection
- computer vision
- real time
- decision trees
- machine learning approaches
- conceptual framework
- inductive learning
- learning problems
- learning tasks
- kernel methods
- text classification
- natural language processing
- information extraction
- knowledge representation
- data analysis
- data structure
- training data
- database systems
- website