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WOSS
2004
ACM
16 years 27 days ago
Combining statistical monitoring and predictable recovery for self-management
Complex distributed Internet services form the basis not only of e-commerce but increasingly of mission-critical networkbased applications. What is new is that the workload and in...
Armando Fox, Emre Kiciman, David A. Patterson
EH
1999
IEEE
351views Hardware» more  EH 1999»
15 years 11 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
BMCBI
2010
154views more  BMCBI 2010»
15 years 7 months ago
An eScience-Bayes strategy for analyzing omics data
Background: The omics fields promise to revolutionize our understanding of biology and biomedicine. However, their potential is compromised by the challenge to analyze the huge da...
Martin Eklund, Ola Spjuth, Jarl E. S. Wikberg
BMCBI
2007
105views more  BMCBI 2007»
15 years 7 months ago
Generating confidence intervals on biological networks
Background: In the analysis of networks we frequently require the statistical significance of some network statistic, such as measures of similarity for the properties of interact...
Thomas Thorne, Michael P. H. Stumpf
ISVC
2009
Springer
16 years 2 months ago
Wavelet-Based Representation of Biological Shapes
Modeling, characterization and analysis of biological shapes and forms are important in many computational biology studies. Shape representation challenges span the spectrum from s...
Bin Dong, Yu Mao, Ivo D. Dinov, Zhuowen Tu, Yongga...