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CSDA
2006
97views more  CSDA 2006»
15 years 6 months ago
Fuzzy multidimensional scaling
Multidimensional scaling (MDS) is a data analysis technique for representing measurements of (dis)similarity among pairs of objects as distances between points in a low-dimensiona...
Pierre-Alexandre Hébert, Marie-Hél&e...
IJON
2010
181views more  IJON 2010»
15 years 5 months ago
Active learning with extremely sparse labeled examples
An active learner usually assumes there are some labeled data available based on which a moderate classifier is learned and then examines unlabeled data to manually label the mos...
Shiliang Sun, David R. Hardoon
EJASP
2010
132views more  EJASP 2010»
15 years 1 months ago
Uncovering Transcriptional Regulatory Networks by Sparse Bayesian Factor Model
The problem of uncovering transcriptional regulation by transcription factors (TFs) based on microarray data is considered. A novel Bayesian sparse correlated rectified factor mod...
Jia Meng, Jianqiu Zhang, Yuan (Alan) Qi, Yidong Ch...
BMCBI
2005
122views more  BMCBI 2005»
15 years 6 months ago
FACT - a framework for the functional interpretation of high-throughput experiments
Background: Interpreting the results of high-throughput experiments, such as those obtained from DNA-microarrays, is an often time-consuming task due to the high number of data-po...
Felix Kokocinski, Nicolas Delhomme, Gunnar Wrobel,...
ECCV
2006
Springer
16 years 8 months ago
Density Estimation Using Mixtures of Mixtures of Gaussians
In this paper we present a new density estimation algorithm using mixtures of mixtures of Gaussians. The new algorithm overcomes the limitations of the popular Expectation Maximiza...
Wael Abd-Almageed, Larry S. Davis