Making nonlinear manifold learning models interpretable: The manifold grand tour.
Paulo J. G. LisboaJosé David Martín-GuerreroAlfredo VellidoPublished in: Expert Syst. Appl. (2015)
Keyphrases
- learning models
- nonlinear manifold
- manifold learning
- manifold structure
- semi supervised learning
- low dimensional
- dimensionality reduction
- dimension reduction
- sparse coding
- learning algorithm
- machine learning
- conditional random fields
- loss function
- learning tasks
- classification models
- manifold learning algorithm
- machine learning algorithms
- semi supervised
- learning problems
- high dimensional
- euclidean space
- unsupervised learning
- data points
- feature extraction
- labeled data
- active learning
- microarray
- low rank
- high dimensional data
- support vector
- geometric structure
- image classification