The High-Dimensional Geometry of Binary Neural Networks.
Alexander G. AndersonCory P. BergPublished in: ICLR (Workshop) (2017)
Keyphrases
- high dimensional
- neural network
- binary data
- low dimensional
- pattern recognition
- artificial neural networks
- nearest neighbor
- high dimensional data
- variable selection
- fuzzy logic
- high dimensionality
- back propagation
- data points
- neural nets
- sparse data
- three dimensional
- microarray data
- high dimensional problems
- fuzzy systems
- associative memory
- similarity search
- feed forward
- multilayer perceptron
- dimensionality reduction
- multi layer
- decision trees
- genetic algorithm
- input space
- noisy data
- multi class
- network architecture
- activation function
- feature space
- binary classifiers
- non binary