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Information theory filters for wavelet packet coefficient selection with application to corrosion type identification from acoustic emission signals.Feature selection of fMRI data based on normalized mutual information and fisher discriminant ratio.Automatic migraine classification via feature selection committee and machine learning techniques over imaging and questionnaire dataA novel feature selection method and its applicationDNA methylation patterns facilitate the identification of microRNA transcription start sites: a brain-specific study.A latent parameter node-centric model for spatial networks.Machine learning applications in cancer prognosis and predictionDevelopment of novel breast cancer recurrence prediction model using support vector machine.Estimation of Discriminative Feature Subset Using Community Modularity.Synergistic combination of clinical and imaging features predicts abnormal imaging patterns of pulmonary infectionsEvolutionary Algorithm Based Feature Optimization for Multi-Channel EEG Classification.Subunit conformational variation within individual GroEL oligomers resolved by Cryo-EM.A novel pattern mining approach for identifying cognitive activity in EEG based functional brain networks.Predicting the accuracy of multiple sequence alignment algorithms by using computational intelligent techniques.COUGER--co-factors associated with uniquely-bound genomic regions.Comprehensive Context Recognizer Based on Multimodal Sensors in a Smartphone.Combination of heterogeneous EEG feature extraction methods and stacked sequential learning for sleep stage classification.Shortest path based network analysis to characterize cognitive load states of human brain using EEG based functional brain networks.Firmness prediction in Prunus persica 'Calrico' peaches by visible/short-wave near infrared spectroscopy and acoustic measurements using optimised linear and non-linear chemometric models.Sensor (group feature) selection with controlled redundancy in a connectionist framework.Enhanced performance by time-frequency-phase feature for EEG-based BCI systems.A computational framework for complex disease stratification from multiple large-scale datasets.Using Black Hole Algorithm to Improve EEG-Based Emotion Recognition.Feature Selection with Complexity Measure in a Quadratic Programming SettingBenefiting feature selection by the discovery of false irrelevant attributesPrediction of high anti-angiogenic activity peptides in silico using a generalized linear model and feature selectionScalable Feature Selection in High-Dimensional Data Based on GRASPSelecting Negative Samples for PPI Prediction Using Hierarchical Clustering MethodologyMulti-modal image matching based on local frequency information
P2860
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P2860
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
2009年學術文章
@zh-hant
name
Normalized mutual information feature selection.
@en
Normalized mutual information feature selection.
@nl
type
label
Normalized mutual information feature selection.
@en
Normalized mutual information feature selection.
@nl
prefLabel
Normalized mutual information feature selection.
@en
Normalized mutual information feature selection.
@nl
P2093
P356
P1476
Normalized mutual information feature selection.
@en
P2093
Claudio A Perez
Jacek M Zurada
Michel Tesmer
P304
P356
10.1109/TNN.2008.2005601
P577
2009-01-13T00:00:00Z