Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
Abstract The top-k dominating query returns k data objects which dominate the highest number of objects in a dataset. This query is an important tool for decision support since it ...
Analysis of massive graphs has emerged as an important area for massively parallel computation. In this paper, it is shown how the Fresh Breeze trees-of-chunks memory model may be...
In multi-task learning our goal is to design regression or classification models for each of the tasks and appropriately share information between tasks. A Dirichlet process (DP) ...
— Existing methods for local area service discovery either don’t scale or rely on a trustworthy directory server; in some environments these restrictions are unacceptable or im...
Richard Black, Heimir Sverrisson, Laurent Massouli...