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» Magnitude-preserving ranking algorithms
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SIGIR
2002
ACM
13 years 9 months ago
A new family of online algorithms for category ranking
We describe a new family of topic-ranking algorithms for multi-labeled documents. The motivation for the algorithms stems from recent advances in online learning algorithms. The a...
Koby Crammer, Yoram Singer
PODS
2005
ACM
86views Database» more  PODS 2005»
14 years 3 months ago
An incremental algorithm for computing ranked full disjunctions
The full disjunction is a variation of the join operator that maximally combines tuples from connected relations, while preserving all information in the relations. The full disju...
Sara Cohen, Yehoshua Sagiv
MOC
2000
111views more  MOC 2000»
13 years 9 months ago
Voronoi's algorithm in purely cubic congruence function fields of unit rank 1
The first part of this paper classifies all purely cubic function fields over a finite field of characteristic not equal to 3. In the remainder, we describe a method for computing ...
Renate Scheidler, Andreas Stein
CDC
2009
IEEE
285views Control Systems» more  CDC 2009»
13 years 7 months ago
Adaptive randomized algorithm for finding eigenvector of stochastic matrix with application to PageRank
Abstract-- The problem of finding the eigenvector corresponding to the largest eigenvalue of a stochastic matrix has numerous applications in ranking search results, multi-agent co...
Alexander V. Nazin, Boris T. Polyak
GEOINFORMATICA
1998
107views more  GEOINFORMATICA 1998»
13 years 9 months ago
A Comparison of Two Approaches to Ranking Algorithms Used to Compute Hill Slopes
The calculation of slope (downhill gradient) for a point in a digital elevation model (DEM) is a common procedure in the hydrological, environmental and remote sensing sciences. T...
Kevin H. Jones