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FOCS
1990
IEEE
13 years 9 months ago
Separating Distribution-Free and Mistake-Bound Learning Models over the Boolean Domain
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
Avrim Blum
CF
2005
ACM
13 years 7 months ago
Controlling leakage power with the replacement policy in slumberous caches
As technology scales down at an exponential rate, leakage power is fast becoming the dominant component of the total power budget. A large share of the total leakage power is diss...
Nasir Mohyuddin, Rashed Bhatti, Michel Dubois
BMCBI
2010
176views more  BMCBI 2010»
13 years 5 months ago
Bayesian statistical modelling of human protein interaction network incorporating protein disorder information
Background: We present a statistical method of analysis of biological networks based on the exponential random graph model, namely p2-model, as opposed to previous descriptive app...
Svetlana Bulashevska, Alla Bulashevska, Roland Eil...
BMCBI
2008
142views more  BMCBI 2008»
13 years 5 months ago
Optimal neighborhood indexing for protein similarity search
Background: Similarity inference, one of the main bioinformatics tasks, has to face an exponential growth of the biological data. A classical approach used to cope with this data ...
Pierre Peterlongo, Laurent Noé, Dominique L...
TON
2008
103views more  TON 2008»
13 years 5 months ago
On the race of worms, alerts, and patches
We study the effectiveness of automatic patching and quantify the speed of patch or alert dissemination required for worm containment. We focus on random scanning as this is repres...
Milan Vojnovic, Ayalvadi J. Ganesh