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Electronic health records (EHR) have provided a great opportunity to exploit personalized health data to optimize clinical decision making and achieve personalized treatment recommendation. In this ta...
Electronic health records (EHR) have provided a great opportunity to exploit personalized health data to optimize clinical decision making and achieve personalized treatment recommendation. In this ta...
We consider the situation in semi-supervised learning, where the label sampling” mechanism stochastically depends on the true response (as well as potentially on the features). We suggest a method of...
There are many instances in genetics in which we wish to determine whether two candidate populations are distinguishable on the basis of their genetic structure. Examples include populations which are...
We investigate fast methods that allow to quickly eliminate variables (features) in supervised learning problems involving a convex loss function and a l1-norm penalty, leading to a potentially subst...

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