A neuro-fuzzy methodology is described which involves connectionist minimization of a fuzzy feature evaluation index with unsupervised training. The concept of a ¯exible membersh...
—Fuzzy/similarity joins have been widely studied in the research community and extensively used in real-world applications. This paper proposes and evaluates several algorithms f...
Foto N. Afrati, Anish Das Sarma, David Menestrina,...
In this paper we describe a new technique, called pipeline spectroscopy, and use it to measure the cost of each cache miss. The cost of a miss is displayed (graphed) as a histogra...
Thomas R. Puzak, Allan Hartstein, Philip G. Emma, ...
Hierarchical genome assembly can be divided into three distinct stages: sequencing and assembling shotgun reads for each of a series of selected BAC clones; assembling the resulti...
Daolong Wang, Mario Lauria, Bo Yuan, Fred A. Wrigh...
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...