We present the machine learning framework that we are developing, in order to support explorative search for non-trivial linguistic configurations in low-density languages (langua...
Background: The automation of many common molecular biology techniques has resulted in the accumulation of vast quantities of experimental data. One of the major challenges now fa...
Jianghui Xiong, Simon Rayner, Kunyi Luo, Yinghui L...
We consider the problem of approximately counting integral flows in a network. We show that there is an fpras based on volume estimation if all capacities are sufficiently large, ...
We investigate a higher-order query language that embeds operators of the positive relational algebra within the simply-typed λ-calculus. Our language allows one to succinctly de...
—In this paper, we propose SKAIT, a parameterized symmetric key pre-distribution scheme that guarantees a secure and confidential channel between every pair of nodes in a wirele...