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PAMI
2007
102views more  PAMI 2007»
14 years 11 months ago
Feature Subset Selection and Ranking for Data Dimensionality Reduction
—A new unsupervised forward orthogonal search (FOS) algorithm is introduced for feature selection and ranking. In the new algorithm, features are selected in a stepwise way, one ...
Hua-Liang Wei, Stephen A. Billings
BMCBI
2010
224views more  BMCBI 2010»
14 years 12 months ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta
ICDE
2009
IEEE
251views Database» more  ICDE 2009»
16 years 1 months ago
Contextual Ranking of Keywords Using Click Data
The problem of automatically extracting the most interesting and relevant keyword phrases in a document has been studied extensively as it is crucial for a number of applications. ...
Utku Irmak, Vadim von Brzeski, Reiner Kraft
DILS
2004
Springer
15 years 3 months ago
Efficient Techniques to Explore and Rank Paths in Life Science Data Sources
Abstract. Life science data sources represent a complex link-driven federation of publicly available Web accessible sources. A fundamental need for scientists today is the ability ...
Zoé Lacroix, Louiqa Raschid, Maria-Esther V...
EMNLP
2009
14 years 9 months ago
Re-Ranking Models Based-on Small Training Data for Spoken Language Understanding
The design of practical language applications by means of statistical approaches requires annotated data, which is one of the most critical constraint. This is particularly true f...
Marco Dinarelli, Alessandro Moschitti, Giuseppe Ri...