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JCIT
2010
148views more  JCIT 2010»
13 years 2 months ago
Investigating the Performance of Naive- Bayes Classifiers and K- Nearest Neighbor Classifiers
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
Mohammed J. Islam, Q. M. Jonathan Wu, Majid Ahmadi...
DRR
2008
13 years 9 months ago
Hybrid approach combining contextual and statistical information for identifying MEDLINE citation terms
There is a strong demand for developing automated tools for extracting pertinent information from the biomedical literature that is a rich, complex, and dramatically growing resou...
In-Cheol Kim, Daniel X. Le, George R. Thoma
TCC
2009
Springer
131views Cryptology» more  TCC 2009»
14 years 8 months ago
Secure Computability of Functions in the IT Setting with Dishonest Majority and Applications to Long-Term Security
It is well known that general secure function evaluation (SFE) with information-theoretical (IT) security is infeasible in presence of a corrupted majority in the standard model. ...
Robin Künzler, Jörn Müller-Quade, D...
ASWEC
2004
IEEE
13 years 11 months ago
A Framework for Classifying and Comparing Software Architecture Evaluation Methods
Software architecture evaluation has been proposed as a means to achieve quality attributes such as maintainability and reliability in a system. The objective of the evaluation is...
Muhammad Ali Babar, Liming Zhu, D. Ross Jeffery
BMCBI
2007
106views more  BMCBI 2007»
13 years 7 months ago
Improved classification accuracy in 1- and 2-dimensional NMR metabolomics data using the variance stabilising generalised logari
Background: Classifying nuclear magnetic resonance (NMR) spectra is a crucial step in many metabolomics experiments. Since several multivariate classification techniques depend up...
Helen M. Parsons, Christian Ludwig, Ulrich L. G&uu...