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» Transfer Learning for Collective Link Prediction in Multiple...
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ICML
2010
IEEE
13 years 5 months ago
Transfer Learning for Collective Link Prediction in Multiple Heterogenous Domains
Link prediction is a key technique in many applications such as recommender systems, where potential links between users and items need to be predicted. A challenge in link predic...
Bin Cao, Nathan Nan Liu, Qiang Yang
SDM
2012
SIAM
307views Data Mining» more  SDM 2012»
11 years 7 months ago
Pseudo Cold Start Link Prediction with Multiple Sources in Social Networks
Link prediction is an important task in social networks and data mining for understanding the mechanisms by which the social networks form and evolve. In most link prediction rese...
Liang Ge, Aidong Zhang
ICDM
2010
IEEE
193views Data Mining» more  ICDM 2010»
13 years 2 months ago
Supervised Link Prediction Using Multiple Sources
Link prediction is a fundamental problem in social network analysis and modern-day commercial applications such as Facebook and Myspace. Most existing research approaches this pro...
Zhengdong Lu, Berkant Savas, Wei Tang, Inderjit S....
CIKM
2009
Springer
13 years 9 months ago
Heterogeneous cross domain ranking in latent space
Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...
Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang,...
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
13 years 10 months ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali