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BMCBI
2010
118views more  BMCBI 2010»
13 years 10 months ago
Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry
Background: There is an increasing usage of ion mobility-mass spectrometry (IMMS) in proteomics. IMMS combines the features of ion mobility spectrometry (IMS) and mass spectrometr...
Bing Wang, Steve Valentine, Manolo Plasencia, Srir...
ICANN
2007
Springer
14 years 4 months ago
Unbiased SVM Density Estimation with Application to Graphical Pattern Recognition
Abstract. Classification of structured data (i.e., data that are represented as graphs) is a topic of interest in the machine learning community. This paper presents a different,...
Edmondo Trentin, Ernesto Di Iorio
HICSS
2005
IEEE
142views Biometrics» more  HICSS 2005»
14 years 3 months ago
Understand Corporate Rationales for Engaging in Reverse Stock Splits - A Data Mining Application
There has been much written on the individual topics of bankruptcy prediction, corporate performance, and reverse stock splits. However, there is little research into the relation...
Melody Y. Kiang, Dorothy M. Fisher, Steve A. Fishe...
NN
2006
Springer
13 years 10 months ago
Speed-accuracy trade-off in planned arm movements with delayed feedback
The Vector Integration to Endpoint (VITE) circuit describes a real-time neural network model simulating behavioral and neurobiological properties of planned arm and hand movements...
Dan Beamish, I. Scott MacKenzie, Jianhong Wu
ISNN
2005
Springer
14 years 3 months ago
Advanced Visualization Techniques for Self-organizing Maps with Graph-Based Methods
The Self-Organizing Map is a popular neural network model for data analysis, for which a wide variety of visualization techniques exists. We present a novel technique that takes th...
Georg Pölzlbauer, Andreas Rauber, Michael Dit...