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CIDM
2009
IEEE
15 years 8 months ago
Diversity analysis on imbalanced data sets by using ensemble models
— Many real-world applications have problems when learning from imbalanced data sets, such as medical diagnosis, fraud detection, and text classification. Very few minority clas...
Shuo Wang, Xin Yao
ISCAS
2002
IEEE
87views Hardware» more  ISCAS 2002»
15 years 6 months ago
Transient bit error rate analysis of data recovery systems using jitter models
This paper presents a method for analyzing the Bit Error Rate of recovered data for PLL-based data recovery systems (DRS) as the PLL comes into lock. This method is based on the a...
Yonghui Tang, Randall L. Geiger
BMCBI
2008
154views more  BMCBI 2008»
15 years 1 months ago
Bayesian models and meta analysis for multiple tissue gene expression data following corticosteroid administration
Background: This paper addresses key biological problems and statistical issues in the analysis of large gene expression data sets that describe systemic temporal response cascade...
Yulan Liang, Arpad Kelemen
IJDMB
2008
132views more  IJDMB 2008»
15 years 1 months ago
A Bayesian framework for knowledge driven regression model in micro-array data analysis
: This paper addresses the sparse data problem in the linear regression model, namely the number of variables is significantly larger than the number of the data points for regress...
Rong Jin, Luo Si, Christina Chan
NECO
2008
111views more  NECO 2008»
15 years 1 months ago
A Neural Network Model of the Eriksen Task: Reduction, Analysis, and Data Fitting
We analyze a neural network model of the Eriksen task, a twoalternative forced choice task in which subjects must correctly identify a central stimulus and disregard flankers that...
Yuan Sophie Liu, Philip Holmes, Jonathan D. Cohen