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Volumn 705, Issue 1-2, 2011, Pages 41-47
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On the increase of predictive performance with high-level data fusion
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Author keywords
Classification; Data fusion; Error rate; Metabolomics
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Indexed keywords
COMBINING MODEL;
DATA MATRICES;
DATA SETS;
DATA SOURCE;
DISCRIMINATIVE ABILITY;
ERROR RATE;
INDIVIDUAL CLASSIFIERS;
LEAST SQUARE;
METABOLOMICS;
METABOLOMICS DATA;
PREDICTIVE ABILITIES;
PREDICTIVE PERFORMANCE;
REAL LIFE DATA;
SIMULATION STUDIES;
THEORETICAL PERFORMANCE;
DATA FUSION;
FEATURE EXTRACTION;
CLASSIFICATION (OF INFORMATION);
ANALYTICAL ERROR;
ARTICLE;
CLASSIFICATION;
CONTROLLED STUDY;
CORRELATION ANALYSIS;
DATA ANALYSIS;
HIGH LEVEL DATA FUSION;
MATHEMATICAL MODEL;
MATHEMATICAL PARAMETERS;
METABOLOMICS;
NONHUMAN;
PARTIAL LEAST SQUARES REGRESSION;
PERFORMANCE;
PREDICTION;
PRIORITY JOURNAL;
SIMULATION;
TOMATO;
ARTIFICIAL INTELLIGENCE;
METABOLOMICS;
MODELS, STATISTICAL;
PATTERN RECOGNITION, AUTOMATED;
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EID: 80053386323
PISSN: 00032670
EISSN: 18734324
Source Type: Journal
DOI: 10.1016/j.aca.2011.03.025 Document Type: Article |
Times cited : (61)
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References (15)
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