Predictive Uncertainty in Large Scale Classification using Dropout - Stochastic Gradient Hamiltonian Monte Carlo.
Diego VergaraSergio HernándezMatias Valdenegro-ToroFelipe JorqueraPublished in: CoRR (2018)
Keyphrases
- monte carlo
- stochastic gradient
- nearest neighbor classifier
- importance sampling
- markov chain
- monte carlo tree search
- decision trees
- grassmann manifold
- machine learning
- support vector machine
- classification accuracy
- training samples
- svm classifier
- lower bound
- stochastic gradient descent
- support vector
- feature selection
- least squares
- supervised learning
- text classification
- model selection
- text categorization
- machine learning algorithms
- feature vectors
- feature extraction