Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals.
Tsung-Yu HsiehSuhang WangYiwei SunVasant G. HonavarPublished in: WSDM (2021)
Keyphrases
- neural network
- back propagation
- artificial neural networks
- real numbers
- neural network model
- input variables
- dependence structure
- pattern recognition
- variable selection
- bp neural network
- multivariate data
- multi layer perceptron
- dynamic time warping
- neural nets
- self organizing maps
- genetic algorithm
- interval data
- fault diagnosis
- random variables
- fuzzy artmap
- network model
- training algorithm
- nearest neighbor
- fuzzy logic
- independent variables
- feed forward neural networks
- control charts
- learning vector quantization
- backpropagation neural network
- neural network is trained
- deep learning
- endpoints
- recurrent neural networks
- radial basis function
- regression model
- knn
- association rules
- machine learning