A Novel Solution of Using Deep Learning for White Blood Cells Classification: Enhanced Loss Function with Regularization and Weighted Loss (ELFRWL).
Jaya BasnetAbeer AlsadoonP. W. C. PrasadSarmad Al AloussiOmar Hisham AlsadoonPublished in: Neural Process. Lett. (2020)
Keyphrases
- loss function
- hinge loss
- deep learning
- solution path
- support vector
- risk minimization
- convex loss functions
- square loss
- reproducing kernel hilbert space
- regularization term
- pairwise
- unsupervised learning
- restricted boltzmann machine
- decision boundary
- machine learning
- potential functions
- convex optimization
- weakly supervised
- multi class
- support vector machine
- stochastic gradient descent
- soft margin
- white blood cells
- automatic recognition
- boosting algorithms
- training samples
- semi supervised learning
- feature extraction
- feature selection