Sentence examples for topics to predict from inspiring English sources

In addition, we can also select multiple fields as targets, then the system will use time series of multiple topics to predict their future values.

Assume a set of topics are discovered from documents, topic forecasting intends to predict the future trend (i.e., popularity) of the topics/patterns, by using temporal correlations of the patterns observed from training data.

The discovered topics then help to predict missing tags of an unseen image as well as the ones partially labeled in the database.

The problem of source term qualification is one of the most important topics in order to predict possible releases of the Activation Products (APs) and Tritium from the DEMO Fusion reactor.

The modelling of staircases has been a research topic in order to predict their presence in a broad range of applied research fields.

Raeder et al. [75] dig a bit deeper into that last topic, by attempting to predict which link will decay and which will persist, based on several local indicators.

The instructions may contain information about the passage topic which helps to predict what you may hear or read.

The platform is powered by OneRiot's proprietary Trending Topics Forecast Algorithm (TTFA), which attempts to predict what topics will trend before they blow up on Twitter or Facebook or Google Trends.

LivesOn (slogan: "When your heart stops beating, you'll keep tweeting") will keep your Twitter feed alive by analysing your old tweets, learning your syntax and favourite topics, and using them to predict what you'd say.

After that, the app tracks all your choices to feed its algorithm, as well as looking at other users' patterns of choices to add "likely patterns" from their profiles to yours to try to predict topics of interest for you.

For example, analyzing Web users' query behavior can unveil important insights about the popularity of certain topics and the ability to predict search queries, as showed by Radinsky et al. [113], could be incorporated in a popularity prediction model.