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KDD
2009
ACM
179views Data Mining» more  KDD 2009»
15 years 11 months ago
Identifying graphs from noisy and incomplete data
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
Galileo Mark S. Namata Jr., Lise Getoor
BMCBI
2007
207views more  BMCBI 2007»
15 years 5 months ago
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...
MUE
2007
IEEE
100views Multimedia» more  MUE 2007»
15 years 11 months ago
Pave the Way to Future Smart Living Space - Cross-layer Enhanced AAA for 4G Core Network
The 4th generation mobile communication system certainly will have a lot of improvement such as supporting higher multimedia loading, offering faster transmission rate, and the im...
Tin Yu Wu, Diego Chung, Chi-Yuan Chen, Han-Chieh C...
AIED
2009
Springer
15 years 11 months ago
An Evaluation of Sociocultural Data for Predicting Attitudinal Tendencies
Cultural profiling involves a complex interplay of multiple dimensions that are virtually impossible to wholly address. This paper explores several cultural (nationality and its as...
Emmanuel G. Blanchard, Marguerite Roy, Susanne P. ...
ML
2012
ACM
413views Machine Learning» more  ML 2012»
14 years 12 days ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...