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» Graph Mining using Graph Pattern Profiles
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PAKDD
2007
ACM
110views Data Mining» more  PAKDD 2007»
15 years 8 months ago
Combining Convolution Kernels Defined on Heterogeneous Sub-structures
Convolution kernels, constructed by convolution of sub-kernels defined on sub-structures of composite objects, are widely used in classification, where one important issue is to ch...
Minlie Huang, Xiaoyan Zhu
110
Voted
PAKDD
2004
ACM
96views Data Mining» more  PAKDD 2004»
15 years 7 months ago
Spectral Energy Minimization for Semi-supervised Learning
The use of unlabeled data to aid classification is important as labeled data is often available in limited quantity. Instead of utilizing training samples directly into semi-super...
Chun Hung Li, Zhi-Li Wu
ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
15 years 7 months ago
Structure Search and Stability Enhancement of Bayesian Networks
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
Hanchuan Peng, Chris H. Q. Ding
PAKDD
2010
ACM
222views Data Mining» more  PAKDD 2010»
15 years 7 months ago
Online Sampling of High Centrality Individuals in Social Networks
In this work, we investigate the use of online or “crawling” algorithms to sample large social networks in order to determine the most influential or important individuals wit...
Arun S. Maiya, Tanya Y. Berger-Wolf
SDM
2008
SIAM
121views Data Mining» more  SDM 2008»
15 years 3 months ago
Integration of Multiple Networks for Robust Label Propagation
Transductive inference on graphs such as label propagation algorithms is receiving a lot of attention. In this paper, we address a label propagation problem on multiple networks a...
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama