Learning Sparse Neural Networks via $\ell_0$ and T$\ell_1$ by a Relaxed Variable Splitting Method with Application to Multi-scale Curve Classification.
Fanghui XueJack XinPublished in: CoRR (2019)
Keyphrases
- classification method
- unsupervised learning
- support vector machine svm
- neural network
- classification algorithm
- pattern recognition
- classification accuracy
- prior knowledge
- learning problems
- probabilistic model
- support vector machine
- decision trees
- roc curve
- neural nets
- learning tasks
- machine learning methods
- markov blanket
- sparse representation
- pattern classification
- learning algorithm
- training process
- dictionary learning
- classification process
- cross validation
- text classification
- feature set
- supervised learning
- active learning
- preprocessing
- multiscale
- feature extraction
- machine learning algorithms
- training samples
- image classification
- knn
- learning process
- feature vectors
- feature space
- rule extraction
- norm minimization