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» Classes and clusters in data analysis
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BMCBI
2006
150views more  BMCBI 2006»
15 years 6 months ago
Instance-based concept learning from multiclass DNA microarray data
Background: Various statistical and machine learning methods have been successfully applied to the classification of DNA microarray data. Simple instance-based classifiers such as...
Daniel P. Berrar, Ian Bradbury, Werner Dubitzky
ICDT
2009
ACM
149views Database» more  ICDT 2009»
16 years 7 months ago
Query languages for data exchange: beyond unions of conjunctive queries
The class of unions of conjunctive queries (UCQ) has been shown to be particularly well-behaved for data exchange; its certain answers can be computed in polynomial time (in terms...
Juan Reutter, Marcelo Arenas, Pablo Barceló
ISBI
2006
IEEE
16 years 7 months ago
Mixture principal component analysis for distribution volume parametric imaging in brain PET studies
In this paper, we present a mixture Principal Component Analysis (mPCA)-based approach for voxel level quantification of dynamic positron emission tomography (PET) data in brain s...
Peng Qiu, Z. Jane Wang, K. J. Ray Liu
AMAI
2011
Springer
14 years 6 months ago
Similarity measures in formal concept analysis
Formal concept analysis (FCA) has been applied successively in diverse fields such as data mining, conceptual modeling, social networks, software engineering, and the semantic we...
Faris Alqadah, Raj Bhatnagar
CVPR
2009
IEEE
17 years 1 months ago
Learning a Distance Metric from Multi-instance Multi-label Data
Multi-instance multi-label learning (MIML) refers to the learning problems where each example is represented by a bag/collection of instances and is labeled by multiple labels. ...
Rong Jin (Michigan State University), Shijun Wang...