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» Statistical Analysis of Semi-Supervised Regression
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BMCBI
2010
150views more  BMCBI 2010»
13 years 4 months ago
Kernel based methods for accelerated failure time model with ultra-high dimensional data
Background: Most genomic data have ultra-high dimensions with more than 10,000 genes (probes). Regularization methods with L1 and Lp penalty have been extensively studied in survi...
Zhenqiu Liu, Dechang Chen, Ming Tan, Feng Jiang, R...
AUSDM
2006
Springer
122views Data Mining» more  AUSDM 2006»
13 years 11 months ago
Analysis of Breast Feeding Data Using Data Mining Methods
The purpose of this study is to demonstrate the benefit of using common data mining techniques on survey data where statistical analysis is routinely applied. The statistical surv...
Hongxing He, Huidong Jin, Jie Chen, Damien McAulla...
ISLPED
1997
ACM
114views Hardware» more  ISLPED 1997»
13 years 11 months ago
Cycle-accurate macro-models for RT-level power analysis
 In this paper we present a methodology and techniques for generating cycle-accurate macro-models for RTlevel power analysis. The proposed macro-model predicts not only...
Qinru Qiu, Qing Wu, Massoud Pedram, Chih-Shun Ding
ICSM
2007
IEEE
14 years 1 months ago
On the prediction of the evolution of libre software projects
Libre (free / open source) software development is a complex phenomenon. Many actors (core developers, casual contributors, bug reporters, patch submitters, users, etc.), in many ...
Israel Herraiz, Jesús M. González-Ba...
BMCBI
2004
139views more  BMCBI 2004»
13 years 7 months ago
Resolution of large and small differences in gene expression using models for the Bayesian analysis of gene expression levels an
Background: The detection of small yet statistically significant differences in gene expression in spotted DNA microarray studies is an ongoing challenge. Meeting this challenge r...
Jeffrey P. Townsend