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JMLR
2012
11 years 11 months ago
Perturbation based Large Margin Approach for Ranking
We consider the task of devising large-margin based surrogate losses for the learning to rank problem. In this learning to rank setting, the traditional hinge loss for structured ...
Eunho Yang, Ambuj Tewari, Pradeep D. Ravikumar
CDC
2008
IEEE
110views Control Systems» more  CDC 2008»
14 years 3 months ago
Local mode dependent decentralized control of uncertain Markovian jump large-scale systems
Abstract— This paper is concerned with the robust stabilization of a class of stochastic large-scale systems. The uncertainties satisfy integral quadratic constraints. The random...
Junlin Xiong, Valery A. Ugrinovskii, Ian R. Peters...
IJCAI
2003
13 years 10 months ago
A Learning Algorithm for Web Page Scoring Systems
Hyperlink analysis is a successful approach to define algorithms which compute the relevance of a document on the basis of the citation graph. In this paper we propose a technique...
Michelangelo Diligenti, Marco Gori, Marco Maggini
EDBT
2010
ACM
135views Database» more  EDBT 2010»
14 years 6 days ago
Probabilistic ranking over relations
Probabilistic top-k ranking queries have been extensively studied due to the fact that data obtained can be uncertain in many real applications. A probabilistic top-k ranking quer...
Lijun Chang, Jeffrey Xu Yu, Lu Qin, Xuemin Lin
SSD
2005
Springer
175views Database» more  SSD 2005»
14 years 2 months ago
Probabilistic Spatial Queries on Existentially Uncertain Data
We study the problem of answering spatial queries in databases where objects exist with some uncertainty and they are associated with an existential probability. The goal of a thre...
Xiangyuan Dai, Man Lung Yiu, Nikos Mamoulis, Yufei...