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» Exploiting multiple classifier types with active learning
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BMCBI
2006
123views more  BMCBI 2006»
13 years 6 months ago
Characterizing disease states from topological properties of transcriptional regulatory networks
Background: High throughput gene expression experiments yield large amounts of data that can augment our understanding of disease processes, in addition to classifying samples. He...
David Tuck, Harriet Kluger, Yuval Kluger
KDD
2008
ACM
174views Data Mining» more  KDD 2008»
14 years 7 months ago
Effective label acquisition for collective classification
Information diffusion, viral marketing, and collective classification all attempt to model and exploit the relationships in a network to make inferences about the labels of nodes....
Mustafa Bilgic, Lise Getoor
NSPW
2006
ACM
14 years 16 days ago
Dark application communities
In considering new security paradigms, it is often worthwhile to anticipate the direction and nature of future attack paradigms. We identify a class of attacks based on the idea o...
Michael E. Locasto, Angelos Stavrou, Angelos D. Ke...
APWEB
2009
Springer
13 years 10 months ago
Ontology Evaluation through Text Classification
We present a new method to evaluate a search ontology, which relies on mapping ontology instances to textual documents. On the basis of this mapping, we evaluate the adequacy of on...
Yael Dahan Netzer, David Gabay, Meni Adler, Yoav G...
NDSS
2009
IEEE
14 years 1 months ago
Detecting Forged TCP Reset Packets
Several off-the-shelf products enable network operators to enforce usage restrictions by actively terminating connections when deemed undesirable. While the spectrum of their appl...
Nicholas Weaver, Robin Sommer, Vern Paxson