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» Combined regression and ranking
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WSC
1998
14 years 11 months ago
An Approach to Ranking and Selection for Multiple Performance Measures
In this paper, we develop a ranking and selection procedure for making multiple comparisons of systems that have multiple performance measures. The procedure combines multiple att...
Douglas J. Morrice, John C. Butler, Peter W. Mulla...
ICDE
2006
IEEE
150views Database» more  ICDE 2006»
15 years 11 months ago
Efficient Aggregation of Ranked Inputs
A top-k query combines different rankings of the same set of objects and returns the k objects with the highest combined score according to an aggregate function. We bring to ligh...
Nikos Mamoulis, Kit Hung Cheng, Man Lung Yiu, Davi...
CBSE
2005
Springer
15 years 3 months ago
Finding a Needle in the Haystack: A Technique for Ranking Matches Between Components
Abstract. Searching and subsequently selecting reusable components from component repositories has become a key impediment for not only component-based development but also for ach...
Naiyana Tansalarak, Kajal T. Claypool
CORR
2010
Springer
140views Education» more  CORR 2010»
14 years 10 months ago
Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques
We propose a mid-level image segmentation framework that combines multiple figure-ground hypothesis (FG) constrained at different locations and scales, into interpretations that t...
João Carreira, Adrian Ion, Cristian Sminchi...
FAW
2008
Springer
104views Algorithms» more  FAW 2008»
14 years 11 months ago
Ranking of Closeness Centrality for Large-Scale Social Networks
Abstract. Closeness centrality is an important concept in social network analysis. In a graph representing a social network, closeness centrality measures how close a vertex is to ...
Kazuya Okamoto, Wei Chen, Xiang-Yang Li