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WSC
1998
13 years 10 months ago
Input Modeling
Most discrete-event simulation models have stochastic elements that mimic the probabilistic nature of the system under consideration. A close match between the input model and the...
Lawrence Leemis
BMCBI
2006
121views more  BMCBI 2006»
13 years 8 months ago
Splice site identification using probabilistic parameters and SVM classification
Background: Recent advances and automation in DNA sequencing technology has created a vast amount of DNA sequence data. This increasing growth of sequence data demands better and ...
A. K. M. A. Baten, Bill C. H. Chang, Saman K. Halg...
BMCBI
2010
189views more  BMCBI 2010»
13 years 9 months ago
High quality protein sequence alignment by combining structural profile prediction and profile alignment using SABERTOOTH
Background: Protein alignments are an essential tool for many bioinformatics analyses. While sequence alignments are accurate for proteins of high sequence similarity, they become...
Florian Teichert, Jonas Minning, Ugo Bastolla, Mar...
INFOCOM
2010
IEEE
13 years 6 months ago
An Axiomatic Theory of Fairness in Network Resource Allocation
We present a set of five axioms for fairness measures in resource allocation. A family of fairness measures satisfying the axioms is constructed. Well-known notions such as -fairne...
Tian Lan, David Kao, Mung Chiang, Ashutosh Sabharw...
KDD
2008
ACM
137views Data Mining» more  KDD 2008»
14 years 9 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto