Supervised Distributed Multi-Instance and Unsupervised Single-Instance Autoencoder Machine Learning for Damage Diagnostics with High-Dimensional Data - A Hybrid Approach and Comparison Study.
Stefan BosseDennis WeissDaniel SchmidtPublished in: Comput. (2021)
Keyphrases
- single instance
- multi instance
- high dimensional data
- machine learning
- multiple instance
- semi supervised learning
- dimensionality reduction
- supervised learning
- high dimensional
- semi supervised
- unsupervised learning
- real valued
- nearest neighbor
- data sets
- learning problems
- low dimensional
- multi instance learning
- data analysis
- feature selection
- multi label
- similarity search
- learning algorithm
- high dimensionality
- pattern recognition
- training set
- regression problems
- input data
- neural network
- imbalanced datasets
- multiple instance learning
- object segmentation
- knn