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Embedding Time Differences in Context-sensitive Neural Networks for Learning Time to Event
We propose an effective context-sensitive neural model for time to event (TTE) prediction task, which aims to predict the amount of time to/from the occurrence of given events in streaming content.
Event Time Extraction with a Decision Tree of Neural Classifiers
We use this tree to incrementally infer, in a stepwise manner, at which time frame an event happened.
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