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KDD
2008
ACM
259views Data Mining» more  KDD 2008»
14 years 6 months ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
BMCBI
2006
183views more  BMCBI 2006»
13 years 6 months ago
Mining gene expression data by interpreting principal components
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
Joseph C. Roden, Brandon W. King, Diane Trout, Ali...

Book
640views
15 years 5 months ago
Introduction to Pattern Recognition
"Pattern recognition techniques are concerned with the theory and algorithms of putting abstract objects, e.g., measurements made on physical objects, into categories. Typical...
Sargur Srihari
KDD
2009
ACM
269views Data Mining» more  KDD 2009»
14 years 6 months ago
Extracting discriminative concepts for domain adaptation in text mining
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong
ICC
2007
IEEE
203views Communications» more  ICC 2007»
14 years 18 days ago
Distributed Cooperative Routing for UWB Ad-Hoc Networks
— Ultra wide band (UWB) ad-hoc networks have attracted much research attention in recent years. This paper proposes and investigates a new distributed cooperative routing strateg...
Shouhong Zhu, Kin K. Leung