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» Fuzzy Prediction Models in Measurement
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RECOMB
2007
Springer
16 years 16 hour ago
A Bayesian Model That Links Microarray mRNA Measurements to Mass Spectrometry Protein Measurements
Abstract. An important problem in biology is to understand correspondences between mRNA microarray levels and mass spectrometry peptide counts. Recently, a compendium of mRNA expre...
Anitha Kannan, Andrew Emili, Brendan J. Frey
TSMC
2002
134views more  TSMC 2002»
14 years 11 months ago
Incorporating soft computing techniques into a probabilistic intrusion detection system
There are a lot of industrial applications that can be solved competitively by hard computing, while still requiring the tolerance for imprecision and uncertainty that can be explo...
Sung-Bae Cho
NAACL
2007
15 years 1 months ago
Combining Lexical and Grammatical Features to Improve Readability Measures for First and Second Language Texts
This work evaluates a system that uses interpolated predictions of reading difficulty that are based on both vocabulary and grammatical features. The combined approach is compared...
Michael Heilman, Kevyn Collins-Thompson, Jamie Cal...
JLP
2008
92views more  JLP 2008»
14 years 11 months ago
Relational measures and integration in preference modeling
Based on a set of criteria and a measuring lattice, we introduce relational measures as generalizations of fuzzy measures. The latter have recently made their way from the interva...
Gunther Schmidt, Rudolf Berghammer
SIGMETRICS
2011
ACM
196views Hardware» more  SIGMETRICS 2011»
14 years 2 months 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