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BIBM
2009
IEEE
192views Bioinformatics» more  BIBM 2009»
16 years 28 days ago
A Multi-task Feature Selection Filter for Microarray Classification
A major challenge in microarray classification and biomarker discovery is dealing with small-sample high-dimensional data where the number of genes used as features is typically o...
Liang Lan, Slobodan Vucetic
ESWS
2010
Springer
15 years 11 months ago
Leveraging Terminological Structure for Object Reconciliation
Abstract. It has been argued that linked open data is the major benefit of semantic technologies for the web as it provides a huge amount of structured data that can be accessed i...
Jan Noessner, Mathias Niepert, Christian Meilicke,...
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CIKM
2008
Springer
15 years 8 months ago
Structure feature selection for graph classification
With the development of highly efficient graph data collection technology in many application fields, classification of graph data emerges as an important topic in the data mining...
Hongliang Fei, Jun Huan
JAIR
2006
110views more  JAIR 2006»
15 years 6 months ago
Domain Adaptation for Statistical Classifiers
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
Hal Daumé III, Daniel Marcu
CIKM
2010
Springer
15 years 4 months ago
FacetCube: a framework of incorporating prior knowledge into non-negative tensor factorization
Non-negative tensor factorization (NTF) is a relatively new technique that has been successfully used to extract significant characteristics from polyadic data, such as data in s...
Yun Chi, Shenghuo Zhu