A Comparative Study of SVM and LSTM Deep Learning Algorithms for Stock Market Prediction.
Sai Krishna LakshminarayananJohn P. McCraePublished in: AICS (2019)
Keyphrases
- stock market prediction
- learning algorithm
- deep architectures
- generalization ability
- support vector
- support vector machine svm
- training data
- support vector machine
- machine learning
- empirical mode decomposition
- learning problems
- maximum margin
- classification algorithm
- machine learning algorithms
- knn
- active learning
- learning machines
- svm classifier
- learning tasks
- recurrent neural networks
- neural network
- feature selection
- deep learning
- multi class
- feature space
- image processing
- kernel function
- large margin classifiers
- classification accuracy
- training set
- learning rate
- kernel methods
- supervised learning
- hyperplane
- feature vectors
- back propagation
- training examples
- non stationary