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» Application of Neural Networks in Financial Data Mining
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BMCBI
2007
131views more  BMCBI 2007»
13 years 8 months ago
Prediction of peptides observable by mass spectrometry applied at the experimental set level
Background: When proteins are subjected to proteolytic digestion and analyzed by mass spectrometry using a method such as 2D LC MS/MS, only a portion of the proteotypic peptides a...
William S. Sanders, Susan M. Bridges, Fiona M. McC...
ENGL
2007
100views more  ENGL 2007»
13 years 8 months ago
Utilizing Computational Intelligence to Assist in Software Release Decision
—Defect tracking using computational intelligence methods is used to predict software readiness in this study. By comparing predicted number of faults and number of faults discov...
Tong-Seng Quah, Mie Mie Thet Thwin
KDD
2006
ACM
155views Data Mining» more  KDD 2006»
14 years 8 months ago
Camouflaged fraud detection in domains with complex relationships
We describe a data mining system to detect frauds that are camouflaged to look like normal activities in domains with high number of known relationships. Examples include accounti...
Sankar Virdhagriswaran, Gordon Dakin
ICANN
2009
Springer
14 years 3 months ago
Multimodal Sparse Features for Object Detection
In this paper the sparse coding principle is employed for the representation of multimodal image data, i.e. image intensity and range. We estimate an image basis for frontal face i...
Martin Haker, Thomas Martinetz, Erhardt Barth
IJCNN
2007
IEEE
14 years 2 months ago
Branching Principal Components: Elastic Graphs, Topological Grammars and Metro Maps
— To approximate complex data, we propose new type of low-dimensional “principal object”: principal cubic complex. This complex is a generalization of linear and nonlinear pr...
Alexander N. Gorban, Neil R. Sumner, Andrei Yu. Zi...