High-Rate Machine Learning for Forecasting Time-Series Signals.
Atiyehsadat PanahiEhsan KabirAustin R. J. DowneyDavid AndrewsMiaoqing HuangJason D. BakosPublished in: FCCM (2022)
Keyphrases
- high rate
- machine learning
- weather forecasting
- low rate
- financial time series
- false alarms
- forecasting accuracy
- autoregressive model
- arma model
- exponential smoothing
- short term
- signal processing
- box jenkins
- data mining
- machine learning methods
- autoregressive
- chaotic time series
- moving average
- non stationary
- stock market
- natural language processing
- machine learning algorithms
- computer vision
- support vector regression
- pattern recognition
- learning algorithm
- feature selection
- decision trees
- arima model
- support vector machine
- exchange rate
- prediction model
- information extraction
- reinforcement learning
- multivariate time series
- text classification
- mackey glass
- forecasting model
- garch model
- stock price
- independent component analysis