Recently, there has been an increased focus on modeling uncertainty by distributions. Suppose we wish to compute a function of a stream whose elements are samples drawn independen...
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
We study rationality in protocol design for the full-information model, a model characterized by computationally unbounded adversaries, no private communication, and no simultanei...
In Deep Web data integration, some Web database interfaces express exclusive predicates of the form Qe = Pi(Pi ∈ P1, P2, . . . , Pm), which permits only one predicate to be selec...
The Human Protein Atlas is a rich source of location proteomics data. In this work, we present an automated approach for processing and classifying major subcellular patterns in t...
Justin Newberg, Jieyue Li, Arvind Rao, Fredrik Pon...