Optimal dispersers have better dependence on the error than optimal extractors. In this paper we give explicit disperser constructions that beat the best possible extractors in so...
Ronen Gradwohl, Guy Kindler, Omer Reingold, Amnon ...
We show that excluding outliers from the training data significantly improves kNN classifier, which in this case performs about 10% better than the best know method--Centroid-based...
This paper deals with new infinite families of small dense sets in desarguesian projective planes PG(2, q). A general construction of dense sets of size about 3q2/3 is presented....
We explore the use of the LZW and LZSS data compression methods. These methods or some versions of them are very common in use of compressing different types of data. Even though ...
A radius–based separation of selection and recombination spheres in diffusion model EAs is introduced, enabling a new taxonomy, oriented towards information flow analysis. It a...