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CORR
2010
Springer
82views Education» more  CORR 2010»
13 years 7 months ago
Expansion and Search in Networks
Borrowing from concepts in expander graphs, we study the expansion properties of real-world, complex networks (e.g. social networks, unstructured peer-to-peer or P2P networks) and...
Arun S. Maiya, Tanya Y. Berger-Wolf
ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
14 years 28 days 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
CIVR
2008
Springer
125views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Leveraging user query log: toward improving image data clustering
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...
Hao Cheng, Kien A. Hua, Khanh Vu
AI
2006
Springer
13 years 7 months ago
Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
Ole J. Mengshoel, David C. Wilkins, Dan Roth
WWW
2004
ACM
14 years 8 months ago
Graph-based text database for knowledge discovery
While we expect to discover knowledge in the texts available on the Web, such discovery usually requires many complex analysis steps, most of which require different text handling...
Junji Tomita, Hidekazu Nakawatase, Megumi Ishii