The KOJAK Group Finder: Connecting the Dots via Integrated Knowledge-Based and Statistical Reasoning
暂无分享,去创建一个
[1] Michael I. Jordan,et al. Link Analysis, Eigenvectors and Stability , 2001, IJCAI.
[2] 幸生 大澤. Evidence Extraction and Link Discovery (EELD) , 2005 .
[3] Ben Taskar,et al. Probabilistic Models of Text and Link Structure for Hypertext Classification , 2001 .
[4] Yiming Yang,et al. Stochastic link and group detection , 2002, AAAI/IAAI.
[5] Andrew W. Moore,et al. Finding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries , 2003, ICML.
[6] Shou-De Lin,et al. Using unsupervised link discovery methods to find interesting facts and connections in a bibliography dataset , 2003, SKDD.
[7] Jon M. Kleinberg,et al. Inferring Web communities from link topology , 1998, HYPERTEXT '98.
[8] C. E. SHANNON,et al. A mathematical theory of communication , 1948, MOCO.
[9] Hans Chalupsky,et al. Scalable Group Detection via a Mutual Information Model , 2004 .
[10] David A. Cohn,et al. The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity , 2000, NIPS.
[11] Wentian Li. Mutual information functions versus correlation functions , 1990 .
[12] Lise Getoor,et al. Learning Probabilistic Relational Models , 1999, IJCAI.
[13] I S Kohane,et al. Mutual information relevance networks: functional genomic clustering using pairwise entropy measurements. , 1999, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.