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» Characterizing and predicting value degree of use
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SEKE
2004
Springer
15 years 3 months ago
Predicting UML Statechart Diagrams Understandability Using Fuzzy Logic-Based Techniques
In this work, we present an application of the Fuzzy Logic in the field of prediction in Software Engineering. We specifically use the Fuzzy Prototypical Knowledge Discovery for ch...
José A. Cruz-Lemus, Marcela Genero, Jos&eac...
ISCAS
2007
IEEE
173views Hardware» more  ISCAS 2007»
15 years 3 months ago
Critical Charge Characterization for Soft Error Rate Modeling in 90nm SRAM
— Due to continuous technology scaling, the reduction of nodal capacitances and the lowering of power supply voltages result in an ever decreasing minimal charge capable of upset...
Riaz Naseer, Younes Boulghassoul, Jeff Draper, San...
BMCBI
2006
123views more  BMCBI 2006»
14 years 9 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
ISBRA
2007
Springer
15 years 3 months ago
GFBA: A Biclustering Algorithm for Discovering Value-Coherent Biclusters
Clustering has been one of the most popular approaches used in gene expression data analysis. A clustering method is typically used to partition genes according to their similarity...
Xubo Fei, Shiyong Lu, Horia F. Pop, Lily R. Liang
SIGMETRICS
2011
ACM
196views Hardware» more  SIGMETRICS 2011»
14 years 13 days ago
Autocorrelation analysis: a new and improved method for measuring branch predictability
Branch taken rate and transition rate have been proposed as metrics to characterize the branch predictability. However, these two metrics may misclassify branches with regular his...
Jian Chen, Lizy Kurian John