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Found 4 papers, 0 papers with code
A State Transition Model for Mobile Notifications via Survival Analysis
In particular, we provide an online use case on notification delivery time optimization to show how we make better decisions, drive more user engagement, and provide more value to users.
On Multiplicative Multitask Feature Learning
We prove that this framework is mathematically equivalent to the widely used multitask feature learning methods that are based on a joint regularization of all model parameters, but with a more general form of regularizers.
Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis
Classification is one of the core problems in Computer-Aided Diagnosis (CAD), targeting for early cancer detection using 3D medical imaging interpretation.
Ranking annotators for crowdsourced labeling tasks
With the advent of crowdsourcing services it has become quite cheap and reasonably effective to get a dataset labeled by multiple annotators in a short amount of time.
