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» Two Algorithms for Inducing Causal Models from Data
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JCB
2002
93views more  JCB 2002»
14 years 9 months ago
Unfolding of Microarray Data
The use of DNA microarrays for the analysis of complex biological samples is becoming a mainstream part of biomedical research. One of the most commonly used methods compares the ...
Andrew B. Goryachev, Pascale F. Macgregor, Aled M....
MLMTA
2007
14 years 11 months ago
A Novel Hybrid Neural Network for Data Clustering
- Clustering plays an indispensable role for data analysis. Many clustering algorithms have been developed. However, most of them suffer either poor performance of unsupervised lea...
Donghai Guan, Andrey Gavrilov, Weiwei Yuan, Young-...
GECCO
2006
Springer
220views Optimization» more  GECCO 2006»
15 years 1 months ago
Comparing evolutionary algorithms on the problem of network inference
In this paper, we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different evoluti...
Christian Spieth, Rene Worzischek, Felix Streicher...
ECML
2006
Springer
15 years 1 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
SAC
2009
ACM
15 years 4 months ago
Enhancing XML data warehouse query performance by fragmentation
XML data warehouses form an interesting basis for decisionsupport applications that exploit heterogeneous data from multiple sources. However, XML-native database systems currentl...
Hadj Mahboubi, Jérôme Darmont