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» Detecting Errors in Corpora Using Support Vector Machines
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WCE
2007
13 years 9 months ago
Gene Selection for Tumor Classification Using Microarray Gene Expression Data
– In this paper we perform a t-test for significant gene expression analysis in different dimensions based on molecular profiles from microarray data, and compare several computa...
Krishna Yendrapalli, Ram B. Basnet, Srinivas Mukka...
SWARM
2010
SPRINGER
154views Optimization» more  SWARM 2010»
13 years 6 months ago
An Immune Concentration Based Virus Detection Approach Using Particle Swarm Optimization
This paper proposes an immune concentration based virus detection approach which utilizes a two-element concentration vector to construct the feature. In this approach, ‘self’ ...
Wei Wang, Pengtao Zhang, Ying Tan
ICIAR
2004
Springer
14 years 1 months ago
Learning an Information Theoretic Transform for Object Detection
We present an information theoretic approach for learning a linear dimension reduction transform for object classification. The theoretic guidance of the approach is that the trans...
Jianzhong Fang, Guoping Qiu
INTERSPEECH
2010
13 years 2 months ago
Landmark-based automated pronunciation error detection
We present a pronunciation error detection method for second language learners of English (L2 learners). The method is a combination of confidence scoring and landmark-based Suppo...
Su-Youn Yoon, Mark Hasegawa-Johnson, Richard Sproa...
IJCAI
2007
13 years 9 months ago
Prediction of Probability of Survival in Critically Ill Patients Optimizing the Area under the ROC Curve
: This article presents the method of Support Vectors Machines (SVM) for predicting probability of survival in critically ill patients by using Platt’s method to fit a sigmoid1 ....
Oscar Luaces, José Ramón Quevedo, Fr...