In the theory of generalized metric spaces, the notion of knetworks has played an important role. Every locally separable metric space or CW-complex, more generally, every space dominated by locally separable metric spaces has a star-countable k-network. Every LaSnev space, as well as, every space dominated by LaSnev spaces has a a-compact-finite knetwork. We recall that every space has a compa...

Data stream poses additional challenges to statistical classification tasks because distributions of the training and target samples may differ as time passes. Such distribution change in streaming data is called concept drift. Numerous histogram-based detection methods have been proposed detect Most histograms are developed on grid-based or tree-based space partitioning algorithms which makes ...

A 0-1 probability space is a probability space ((; 2 ; P), where the sample space f0;1g n for some n. A probability space is k-wise independent if, when Yi is deened to be the ith coordinate of the random n-vector, then any subset of k of the Yi's is (mutually) independent, and it is said to be a probability space for p1; p2; :::;pn if PYi = 1] = pi. We study constructions of k-wise independent...