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» Feature selection based on the training set manipulation
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JMLR
2006
103views more  JMLR 2006»
15 years 4 months ago
On Model Selection Consistency of Lasso
Sparsity or parsimony of statistical models is crucial for their proper interpretations, as in sciences and social sciences. Model selection is a commonly used method to find such...
Peng Zhao, Bin Yu
ICDAR
1999
IEEE
15 years 8 months ago
Combining Classifiers based on Confidence Values
This paper describes our investigation into the neural gas (NG) network algorithm and the hierarchical overlapped architecture (HONG) which we have built by retaining the essence ...
Ajantha S. Atukorale, Ponnuthurai N. Suganthan
ICMCS
2005
IEEE
66views Multimedia» more  ICMCS 2005»
15 years 10 months ago
Automatic crossover frequency selection for multichannel home-theater applications
Given a multichannel loudspeaker system, the selection of the crossover frequency between the sub-woofer and the satellite speakers is important for accurate (i.e., distortionfree...
Sunil Bharitkar, Chris Kyriakakis
ICCV
2007
IEEE
16 years 6 months ago
An Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples
In this paper we present an empirical study of object category recognition using generalized samples and a set of sequential tests. We study 33 categories, each consisting of a sm...
Liang Lin, Shaowu Peng, Jake Porway, Song Chun Zhu...
BMCBI
2008
141views more  BMCBI 2008»
15 years 4 months ago
MiRTif: a support vector machine-based microRNA target interaction filter
Background: MicroRNAs (miRNAs) are a set of small non-coding RNAs serving as important negative gene regulators. In animals, miRNAs turn down protein translation by binding to the...
Yuchen Yang, Yu-Ping Wang, Kuo-Bin Li