We introduce a new deterministic parallel sorting algorithm based on the regular sampling approach. The algorithm uses only two rounds of regular all-to-all personalized communica...
In this paper we address some open questions on the recently proposed Zero-Error Density Maximization algorithm for MLP training. We propose a new version of the cost function tha...
We present and evaluate new techniques for designing algorithm portfolios. In our view, the problem has both a scheduling aspect and a machine learning aspect. Prior work has larg...
A new algorithm is presented for testing if a regular language is locally threshold testable. The new algorithm is slower than existing algorithms, but its correctness proof is sh...
This paper presents an in-depth study of the theory and algorithms for the SPFD-based (Set of Pairs of Functions to be Distinguished) rewiring, and explores the flexibility in the...