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IDA
2005
Springer
16 years 7 days ago
Bayesian Networks Learning for Gene Expression Datasets
DNA arrays yield a global view of gene expression and can be used to build genetic networks models, in order to study relations between genes. Literature proposes Bayesian network ...
Giacomo Gamberoni, Evelina Lamma, Fabrizio Riguzzi...
140
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ICASSP
2010
IEEE
15 years 7 months ago
Leveraging evaluation metric-related training criteria for speech summarization
Many of the existing machine-learning approaches to speech summarization cast important sentence selection as a two-class classification problem and have shown empirical success f...
Shih-Hsiang Lin, Yu-Mei Chang, Jia-Wen Liu, Berlin...
BTW
2007
Springer
236views Database» more  BTW 2007»
15 years 10 months ago
A Classification of Schema Mappings and Analysis of Mapping Tools
: Schema mapping techniques for data exchange have become popular and useful tools both in research and industry. A schema mapping relates a source schema with a target schema via ...
Frank Legler, Felix Naumann
BMCBI
2005
131views more  BMCBI 2005»
15 years 6 months ago
Regularized Least Squares Cancer Classifiers from DNA microarray data
Background: The advent of the technology of DNA microarrays constitutes an epochal change in the classification and discovery of different types of cancer because the information ...
Nicola Ancona, Rosalia Maglietta, Annarita D'Addab...
AAAI
2010
15 years 8 months ago
Adaptive Transfer Learning
Transfer learning aims at reusing the knowledge in some source tasks to improve the learning of a target task. Many transfer learning methods assume that the source tasks and the ...
Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung...