Real-Time Sleep Stage Estimation from Biological Data with Trigonometric Function Regression Model.
Tomohiro HaradaFumito UwanoTakahiro KomineYusuke TajimaTakahiro KawashimaMorito MorishimaKeiki TakadamaPublished in: AAAI Spring Symposia (2016)
Keyphrases
- regression model
- biological data
- real time
- high throughput
- generalized linear models
- sleep stage
- linear model
- semi parametric
- data analysis
- systems biology
- statistical methods
- regression methods
- regression analysis
- multivariate regression
- linear regression model
- knowledge discovery
- huge volume of data
- explanatory variables
- microarray
- low cost
- model selection
- gaussian process
- microarray data
- protein protein interactions
- kernel regression
- data sources
- sleep apnea
- data integration
- density estimation
- parameter estimation
- k means
- interval valued data
- mining graph data