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» Unsupervised feature selection using a neuro-fuzzy approach
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BMCBI
2010
132views more  BMCBI 2010»
15 years 6 months ago
Error margin analysis for feature gene extraction
Background: Feature gene extraction is a fundamental issue in microarray-based biomarker discovery. It is normally treated as an optimization problem of finding the best predictiv...
Chi Kin Chow, Hai Long Zhu, Jessica Lacy, Winston ...
ICIP
2002
IEEE
15 years 11 months ago
An iterative algorithm for context selection in adaptive entropy coders
Context-based adaptive entropy coding is an essential feature of modern image compression algorithms; however, the design of these coders is non-trivial due to the balance that mu...
Tong Jin, Jacques Vaisey
AOSD
2008
ACM
15 years 8 months ago
Edicts: implementing features with flexible binding times
In a software product line, the binding time of a feature is the time at which one decides to include or exclude a feature from a product. Typical binding site implementations are...
Venkat Chakravarthy, John Regehr, Eric Eide
PAKDD
2010
ACM
167views Data Mining» more  PAKDD 2010»
15 years 10 months ago
Resource-Bounded Information Extraction: Acquiring Missing Feature Values on Demand
We present a general framework for the task of extracting specific information “on demand” from a large corpus such as the Web under resource-constraints. Given a database wit...
Pallika Kanani, Andrew McCallum, Shaohan Hu
BMCBI
2011
14 years 10 months ago
Elastic SCAD as a novel penalization method for SVM classification tasks in high-dimensional data
Background: Classification and variable selection play an important role in knowledge discovery in highdimensional data. Although Support Vector Machine (SVM) algorithms are among...
Natalia Becker, Grischa Toedt, Peter Lichter, Axel...