This paper explores the generation of candidates, which is an important step in frequent itemset mining algorithms, from a theoretical point of view. Important notions in our prob...
From an ecological but also from an economical and in the meantime a technical view the fast ongoing increase of power consumption in today’s data centers is no longer feasible....
We consider two stochastic process methods for performing canonical correlation analysis (CCA). The first uses a Gaussian Process formulation of regression in which we use the cur...
We present a fast and scalable matrix multiplication algorithm on distributed memory concurrent computers, whose performance is independent of data distribution on processors, and...
It is shown that structural similarity between proteins can be decided well with much less information than what is used in common similarity measures. The full C representation c...