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» Semi-supervised Learning on Directed Graphs
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ALT
2010
Springer
14 years 6 months ago
PageRank Optimization in Polynomial Time by Stochastic Shortest Path Reformulation
Abstract. The importance of a node in a directed graph can be measured by its PageRank. The PageRank of a node is used in a number of application contexts
Balázs Csanád Csáji, Rapha&eu...
JMLR
2011
145views more  JMLR 2011»
14 years 6 months ago
Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Func
We present a class of graphical models for directly representing the joint cumulative distribution function (CDF) of many random variables, called cumulative distribution networks...
Jim C. Huang, Brendan J. Frey
71
Voted
DAM
2006
63views more  DAM 2006»
14 years 11 months ago
A new family of proximity graphs: Class cover catch digraphs
Motivated by issues in machine learning and statistical pattern classification, we investigate a class cover problem (CCP) with an associated family of directed graphs--class cove...
Jason DeVinney, Carey E. Priebe
FLAIRS
2008
15 years 2 months ago
Unsupervised Learning of General-Specific Noun Relations from the Web
In this paper, we propose a new methodology based on directed weighted graphs and the TextRank algorithm to automatically induce general-specific noun relations from web corpora f...
Gaël Dias, Raycho Mukelov, Guillaume Cleuziou
ICPR
2006
IEEE
16 years 24 days ago
Object Localization Using Input/Output Recursive Neural Networks
Localizing objects in images is a difficult task and represents the first step to the solution of the object recognition problem. This paper presents a novel approach to the local...
Lorenzo Sarti, Marco Maggini, Monica Bianchini