The problem of similarity search (query-by-content) has attracted much research interest. It is a difficult problem because of the inherently high dimensionality of the data. The ...
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...
Radiation hybrid (RH) mapping is a somatic cell technique that is used for ordering markers along a chromosome and estimating physical distances between them. It nicely complements...
Thomas Schiex, Patrick Chabrier, Martin Bouchez, D...
With the prevalence of GPS-embedded mobile devices, enormous amounts of mobility data are being collected in the form of trajectory - a stream of (x,y,t) points. Such trajectories...
Keyword search is a familiar and potentially effective way to find information of interest that is "locked" inside relational databases. Current work has generally assum...
Mayssam Sayyadian, Hieu LeKhac, AnHai Doan, Luis G...