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» Predicting the labels of an unknown graph via adaptive explo...
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TCS
2011
14 years 11 months ago
Predicting the labels of an unknown graph via adaptive exploration
Nicolò Cesa-Bianchi, Claudio Gentile, Fabio...
ALT
2009
Springer
16 years 1 months ago
Learning Unknown Graphs
Motivated by a problem of targeted advertising in social networks, we introduce and study a new model of online learning on labeled graphs where the graph is initially unknown and...
Nicolò Cesa-Bianchi, Claudio Gentile, Fabio...
PKDD
2010
Springer
178views Data Mining» more  PKDD 2010»
15 years 2 months ago
Graph Regularized Transductive Classification on Heterogeneous Information Networks
A heterogeneous information network is a network composed of multiple types of objects and links. Recently, it has been recognized that strongly-typed heterogeneous information net...
Ming Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han...
ICML
2009
IEEE
16 years 5 months ago
Graph construction and b-matching for semi-supervised learning
Graph based semi-supervised learning (SSL) methods play an increasingly important role in practical machine learning systems. A crucial step in graph based SSL methods is the conv...
Tony Jebara, Jun Wang, Shih-Fu Chang
CSB
2003
IEEE
130views Bioinformatics» more  CSB 2003»
15 years 9 months ago
A Computational Approach to Reconstructing Gene Regulatory Networks
Reverse-engineering of gene networks using linear models often results in an underdetermined system because of excessive unknown parameters. In addition, the practical utility of ...
Xutao Deng, Hesham H. Ali