A low-dimensional vector representation for words using an extreme learning machine.
Paula LaurenGuangzhi QuGuang-Bin HuangPaul WattaAmaury LendassePublished in: IJCNN (2017)
Keyphrases
- vector representation
- extreme learning machine
- low dimensional
- document representation
- vector space
- high dimensional
- fixed length
- support vector regression
- feedforward neural networks
- feed forward neural networks
- gaussian processes
- bag of words
- hidden nodes
- single layer
- neural network
- dimensionality reduction
- variable length
- n gram
- high dimensional data
- text documents
- document clustering
- data points
- web documents
- principal component analysis
- similarity computation
- support vector machine
- data fusion
- input space
- document collections
- language model
- similarity measure
- dimension reduction
- feature space
- keywords
- vector space model
- distance measure
- semantic description
- pattern recognition
- image processing
- information retrieval
- k nearest neighbor
- activation function
- probabilistic model
- artificial neural networks