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ICML
2005
IEEE
15 years 10 months ago
Learning structured prediction models: a large margin approach
Benjamin Taskar, Vassil Chatalbashev, Daphne Kolle...
ICML
2004
IEEE
15 years 10 months ago
Extensions of marginalized graph kernels
Jean-Luc Perret, Jean-Philippe Vert, Nobuhisa Ueda...
93
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SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
14 years 11 months ago
Semi-Supervised Learning Based on Semiparametric Regularization
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...
Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, Chr...
JMLR
2010
144views more  JMLR 2010»
14 years 4 months ago
Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables
In this paper we address the problem of predicting when the available data is incomplete. We show that changing the generally accepted table-wise view of the sample items into a g...
Sándor Szedmák, Yizhao Ni, Steve R. ...
TSP
2010
14 years 4 months ago
ARMA signals with specified symmetric marginal probability distribution
Except in the case of normal (i.e Gaussian) distribution, it is very difficult to calculate the marginal probability distribution of ARMA signals. By using a particular form of mo...
Bernard C. Picinbono