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Practical Processing of Mobile Sensor Data for Continual Deep Learning Predictions
We present a practical approach for processing mobile sensor time series data for continual deep learning predictions.
Continual Prediction of Notification Attendance with Classical and Deep Network Approaches
Besides using classical gradient-boosted trees, we demonstrate how to make continual predictions using a recurrent neural network (RNN).
Human-Computer Interaction
Impact of Response Latency on User Behaviour in Mobile Web Search
Traditionally, the efficiency and effectiveness of search systems have both been of great interest to the information retrieval community.
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