Sentence examples for place prediction from inspiring English sources

For our main model we use - as before - the logistic regression model with the features used for the next place prediction model.

Next place prediction algorithms are invaluable tools, capable of increasing the efficiency of a wide variety of tasks, ranging from reducing the spreading of diseases to better resource management in areas such as urban planning.

Providing a full solution for next explored place prediction is beyond the scope of this work, and here we simply aim to stress the fact that the prediction of explorations is very different from the predictions to returns to known places.

CAPS lets users place predictions on a publicly listed stock's performance vs. the S&P 500 over a given time frame.

TransDecoder predicts genes from transcript sequences and uses the transcript-to-genome alignment to place predictions on the genome.

Showing that the differences in results are driven by the following questions: (a) Does the analysis concern an upper bound of predictability, or actual next-place prediction?

(C) Summary of next-place prediction accuracy for all logistic regression models.

In this sense, we raise the question on whether the simple location history is enough for successful next-place prediction.

We model each user separately since our goal is to understand next-place prediction at the individual level.

Some previous work on next-place prediction using social information [29, 30] or nearby Points Of Interest [43] may be the starting point for investigating this problem.

Based on this observation, we argued that the mechanism of exploration is an important part of human mobility and plays a role in next-place prediction.