Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
The ongoing revolution in life sciences research is producing vast amounts of genetic and proteomic sequence data. Scientists want to pose increasingly complex queries on this dat...
Sandeep Tata, Jignesh M. Patel, James S. Friedman,...
We design a linear time approximation scheme for the GaleBerlekamp Switching Game and generalize it to a wider class of dense fragile minimization problems including the Nearest C...
A fundamental problem in XML query processing is tree pattern query (TPQ) matching which computes all data instances in an XML database that match an input TPQ. There is a lot of r...
In this demo, we will present Tiresias, the first how-to query engine. How-to queries represent fundamental data analysis questions of the form: “How should the input change in...