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KDD
2007
ACM
202views Data Mining» more  KDD 2007»
14 years 6 months ago
Support feature machine for classification of abnormal brain activity
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C...
ICAISC
2010
Springer
13 years 7 months ago
Do We Need Whatever More Than k-NN?
Abstract. Many sophisticated classification algorithms have been proposed. However, there is no clear methodology of comparing the results among different methods. According to ou...
Miroslaw Kordos, Marcin Blachnik, Dawid Strzempa
ESANN
2006
13 years 7 months ago
Margin based Active Learning for LVQ Networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...
TSP
2010
13 years 9 days ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
13 years 11 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba