Predicting the occurrence of world news events using recurrent neural networks and auto-regressive moving average models
(2017)
Book Chapter
The ability to predict future states is fundamental for a wide variety of applications, from weather forecasting to stock market analysis. Understanding the related data attributes that can influence changes in time series is a challenging task that... Read More about Predicting the occurrence of world news events using recurrent neural networks and auto-regressive moving average models.