We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
Abstract. Software clustering techniques are useful for extracting architectural information about a system directly from its source code structure. This paper starts by examining ...
In western art music, composers communicate their work to performers via a standard notation which specificies the musical pitches and relative timings of notes. This notation ma...
Business to consumer (B2C) electronic commerce has led to new relationships connecting various supply chain partners via the Internet, significantly increasing the quantity and qu...
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...