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» A new measure of the robustness of biochemical networks
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BMCBI
2006
123views more  BMCBI 2006»
14 years 10 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
CN
2006
113views more  CN 2006»
14 years 10 months ago
Failure recovery for structured p2p networks: Protocol design and performance under churn
Measurement studies indicate a high rate of node dynamics in p2p systems. In this paper, we address the question of how high a rate of node dynamics can be supported by structured...
Simon S. Lam, Huaiyu Liu
TIT
2002
164views more  TIT 2002»
14 years 9 months ago
On the generalization of soft margin algorithms
Generalization bounds depending on the margin of a classifier are a relatively recent development. They provide an explanation of the performance of state-of-the-art learning syste...
John Shawe-Taylor, Nello Cristianini
IMC
2009
ACM
15 years 4 months ago
ANTIDOTE: understanding and defending against poisoning of anomaly detectors
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...
STOC
2001
ACM
104views Algorithms» more  STOC 2001»
15 years 10 months ago
Spatial gossip and resource location protocols
The dynamic behavior of a network in which information is changing continuously over time requires robust and efficient mechanisms for keeping nodes updated about new information. ...
David Kempe, Jon M. Kleinberg, Alan J. Demers