Training Back Propagation Neural Networks in MapReduce on High-Dimensional Big Datasets With Global Evolution.
Wanghu ChenJing LiXintian LiLizhi ZhangJianwu WangPublished in: IEEE Access (2019)
Keyphrases
- high dimensional
- high dimensional datasets
- training dataset
- benchmark datasets
- training samples
- class imbalanced
- training algorithm
- training process
- data sets
- linear svm
- sparse data
- outlier detection
- restricted boltzmann machine
- database
- similarity search
- feature space
- dimensionality reduction
- cloud computing
- ground truth labels
- training and testing data
- machine learning
- training set
- global information
- variable selection
- test set
- high dimensional data
- multi dimensional
- data points
- training phase
- parallel processing
- noisy data
- dimensional data
- microarray data
- decision trees
- low dimensional
- categorical attributes
- neural network