Distributed Learning of Deep Sparse Neural Networks for High-dimensional Classification.
Shweta GargRaghavan KrishnanSarangapani JagannathanV. A. SamaranayakePublished in: IEEE BigData (2018)
Keyphrases
- high dimensional
- distributed learning
- neural network
- pattern recognition
- high dimensionality
- sparse data
- feature space
- machine learning
- low dimensional
- classification accuracy
- rule extraction
- support vector
- high dimensional data
- high dimension
- nearest neighbor
- image classification
- training set
- multi layer perceptron
- feature vectors
- support vector machine
- dimensionality reduction
- sparse coding
- generalized linear models
- text classification
- collaborative learning
- data points
- decision trees
- similarity search
- microarray data
- dimension reduction
- neural network model
- support vector machine svm
- dictionary learning
- unsupervised learning
- feature extraction
- distributed learning environments