This paper describes nonparametric Bayesian treatments for analyzing records containing occurrences of items. The introduced model retains the strength of previous approaches that...
Many of the modern networks used to interconnect nodes in cluster-based computing systems provide network interface cards (NICs) that offer programmable processors. Substantial re...
Adam Wagner, Hyun-Wook Jin, Dhabaleswar K. Panda, ...
We present a scalable parallel implementation for converting a Bayesian network to a junction tree, which can then be used for a complete parallel implementation for exact inferen...
In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...