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A GA-like Dynamic Probability Method With Mutual Information for Feature Selection
As each gene's probability is independent, the chromosome variety in GADP is more notable than in traditional GA, which ensures GADP has a wider search space and selects relevant features more effectively and accurately.
Supervised and Semi-supervised Deep Probabilistic Models for Indoor Positioning Problems
Predicting smartphone users location with WiFi fingerprints has been a popular research topic recently.
Convolutional Mixture Density Recurrent Neural Network for Predicting User Location with WiFi Fingerprints
Predicting smartphone users activity using WiFi fingerprints has been a popular approach for indoor positioning in recent years.
A Probabilistic Approach for Discovering Daily Human Mobility Patterns with Mobile Data
In the experiments, the effectiveness of our method is validated on the real user data collected from different users.
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