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» Learning from Highly Structured Data by Decomposition
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NIPS
2008
15 years 5 months ago
Partially Observed Maximum Entropy Discrimination Markov Networks
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
Jun Zhu, Eric P. Xing, Bo Zhang
WIDM
2003
ACM
15 years 9 months ago
Conceptual modeling of semantic navigation structures: the MoSeNa-approach
At the present time, several shortcomings prevent the more effective use and more intense application of web information systems. Recent developments that are subsumed by the term...
Jörg Becker, Christian Brelage, Karsten Klose...
ACCV
2009
Springer
15 years 11 months ago
Lorentzian Discriminant Projection and Its Applications
This paper develops a supervised dimensionality reduction method, Lorentzian Discriminant Projection (LDP), for discriminant analysis and classification. Our method represents the...
Risheng Liu, Zhixun Su, Zhouchen Lin, Xiaoyu Hou
FLAIRS
2008
15 years 6 months ago
Learning in the Lexical-Grammatical Interface
Children are facile at both discovering word boundaries and using those words to build higher-level structures in tandem. Current research treats lexical acquisition and grammar i...
Tom Armstrong, Tim Oates
SDM
2012
SIAM
282views Data Mining» more  SDM 2012»
13 years 6 months ago
Citation Prediction in Heterogeneous Bibliographic Networks
To reveal information hiding in link space of bibliographical networks, link analysis has been studied from different perspectives in recent years. In this paper, we address a no...
Xiao Yu, Quanquan Gu, Mianwei Zhou, Jiawei Han