Multilabel Classification with Label-Specific Features and Classifiers : A Coarse- And Fine-Tuned Framework

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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Computer Science

100
Classifier Computer Science
83
Domain Computer Science
50
Procedure Computer Science
33
Mapping Function Computer Science
33
Feature Selection Computer Science
33
Feature Extraction Computer Science
16
Experimental Result Computer Science
16
Learning Process Computer Science
16
Level Classifier Computer Science
16
Benchmark Computer Science
16
Training Process Computer Science
16
Domain Feature Computer Science
16
Feature Space Computer Science
16
Selection Process Computer Science

Keyphrases

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Learning Process Keyphrases
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Label-only Keyphrases
100
Multi-label Classif... Keyphrases
100
Two-component Domai... Keyphrases
66
Mapping Function Keyphrases
66
Dual Process Keyphrases
66
Feature Selection Keyphrases
66
Extracting Features Keyphrases
66
Learning Classifier... Keyphrases
66
Classifier Training Keyphrases
33
Training Process Keyphrases
33
Two-level Keyphrases
33
Local Level Keyphrases
33
Two-level Classifie... Keyphrases
33
Selection Strategy Keyphrases
33
Feature Space Keyphrases
33
Global Level Keyphrases
33
Mapping Learning Keyphrases
33
Multiple Labels Keyphrases
33
Out-of-sample Extra... Keyphrases
33
Feature Domain Keyphrases

INIS

100
mapping INIS
100
classification INIS
66
learning INIS
66
levels INIS
33
space INIS
16
extrapolation INIS
16
benchmarks INIS
16
trains INIS
Research OutputsResearch Output authored by Multilabel Classification with Label-Specific Features and Classifiers is tagged with the concept