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» Variable selection using neural-network models
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BMCBI
2004
132views more  BMCBI 2004»
14 years 9 months ago
Two-stage normalization using background intensities in cDNA microarray data
Background: In the microarray experiment, many undesirable systematic variations are commonly observed. Normalization is the process of removing such variation that affects the me...
Dankyu Yoon, Sung-Gon Yi, Ju-Han Kim, Taesung Park
ICML
2010
IEEE
14 years 10 months ago
Boosting Classifiers with Tightened L0-Relaxation Penalties
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
Noam Goldberg, Jonathan Eckstein
HASKELL
2006
ACM
15 years 3 months ago
Strong types for relational databases
Haskell’s type system with multi-parameter constructor classes and functional dependencies allows static (compile-time) computations to be expressed by logic programming on the ...
Alexandra Silva, Joost Visser
66
Voted
EOR
2008
123views more  EOR 2008»
14 years 9 months ago
A combined approach for segment-specific market basket analysis
Market baskets arise from consumers' shopping trips and include items from multiple categories that are frequently chosen interdependently from each other. Explanatory models...
Yasemin Boztug, Thomas Reutterer
KDD
2004
ACM
135views Data Mining» more  KDD 2004»
15 years 10 months ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker