Recognizing multivariate geochemical anomalies for mineral exploration by combining deep learning and one-class support vector machine.
Yihui XiongRenguang ZuoPublished in: Comput. Geosci. (2020)
Keyphrases
- deep learning
- one class support vector machines
- anomaly detection
- unsupervised learning
- machine learning
- mental models
- unsupervised feature learning
- weakly supervised
- restricted boltzmann machine
- online learning
- training data
- deep architectures
- higher order
- decision support system
- semi supervised
- pairwise
- data sets