2245 search results - page 87 / 449 » Metrics that Learn Relevance |
120
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
In this paper we perform an empirical evaluation of supervised learning on highdimensional data. We evaluate performance on three metrics: accuracy, AUC, and squared loss and stud...
166
Voted
GECCO
2007
Springer
15 years 7 months ago
2007
Springer
We have developed a technique to characterize software developers' styles using a set of source code metrics. This style fingerprint can be used to identify the likely author...
161
Voted
BMCBI
2011
14 years 7 months ago
2011
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle da...
132
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SISAP
2009
IEEE
15 years 10 months ago
2009
IEEE
—It has been a long way since the beginnings of metric space searching, where people coming from algorithmics tried to apply their background to this new paradigm, obtaining vari...
151
Voted
ECCV
2010
Springer
2010
Springer
Backprojection Revisited: Scalable Multi-view Object Detection and Similarity Metrics for Detections
15 years 9 months ago
Hough transform based object detectors learn a mapping from the image domain to a Hough voting space. Within this space, object hypotheses are formed by local maxima. The votes con...