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ISBI
2002
IEEE
14 years 9 months ago
Support vector machine learning for detection of microcalcifications in mammograms
Microcalcification (MC) clusters in mammograms can be an indicator of breast cancer. In this work we propose for the first time the use of support vector machine (SVM) learning fo...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...
CIBCB
2005
IEEE
14 years 2 months ago
Feedback Memetic Algorithms for Modeling Gene Regulatory Networks
— In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of memetic algori...
Christian Spieth, Felix Streichert, Jochen Supper,...
JCDL
2011
ACM
374views Education» more  JCDL 2011»
12 years 11 months ago
Comparative evaluation of text- and citation-based plagiarism detection approaches using guttenplag
Various approaches for plagiarism detection exist. All are based on more or less sophisticated text analysis methods such as string matching, fingerprinting or style comparison. I...
Bela Gipp, Norman Meuschke, Jöran Beel
MICRO
2008
IEEE
159views Hardware» more  MICRO 2008»
14 years 2 months ago
A novel cache architecture with enhanced performance and security
—Caches ideally should have low miss rates and short access times, and should be power efficient at the same time. Such design goals are often contradictory in practice. Recent f...
Zhenghong Wang, Ruby B. Lee
TJS
2010
182views more  TJS 2010»
13 years 6 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari