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» On the Complexity of Function Learning
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JCP
2006
78views more  JCP 2006»
15 years 6 months ago
Parameter Optimization of Kernel-based One-class Classifier on Imbalance Learning
Compared with conventional two-class learning schemes, one-class classification simply uses a single class in the classifier training phase. Applying one-class classification to le...
Ling Zhuang, Honghua Dai
NN
2008
Springer
153views Neural Networks» more  NN 2008»
15 years 6 months ago
A biologically motivated visual memory architecture for online learning of objects
We present a biologically motivated architecture for object recognition that is based on a hierarchical feature-detection model in combination with a memory architecture that impl...
Stephan Kirstein, Heiko Wersing, Edgar Körner
JCHE
2007
81views more  JCHE 2007»
15 years 5 months ago
Supporting Self-Organized Learning with Personal WebPublishing Technologies and Practices
I N THIS PAPER, we suggest that self-organized learning can be supported through emergent and informal Web technologies and propose that these technologies can be used to encourag...
Priya Sharma, Sebastian Fiedler
BMCBI
2010
133views more  BMCBI 2010»
15 years 6 months ago
New components of the Dictyostelium PKA pathway revealed by Bayesian analysis of expression data
Background: Identifying candidate genes in genetic networks is important for understanding regulation and biological function. Large gene expression datasets contain relevant info...
Anup Parikh, Eryong Huang, Christopher Dinh, Blaz ...
BMCBI
2006
172views more  BMCBI 2006»
15 years 6 months ago
A novel scoring schema for peptide identification by searching protein sequence databases using tandem mass spectrometry data
Background: Tandem mass spectrometry (MS/MS) is a powerful tool for protein identification. Although great efforts have been made in scoring the correlation between tandem mass sp...
Zhuo Zhang, Shiwei Sun, Xiaopeng Zhu, Suhua Chang,...