Combining MLC and SVM Classifiers for Learning Based Decision Making: Analysis and Evaluations

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Combining MLC and SVM Classifiers for Learning Based Decision Making: Analysis and Evaluations

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http://www.wikidata.org/entity/Q35683031

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2015 nî lūn-bûn

@nan

2015年の論文

@ja

2015年論文

@yue

2015年論文

@zh-hant

2015年論文

@zh-hk

2015年論文

@zh-mo

2015年論文

@zh-tw

2015年论文

@wuu

2015年论文

@zh

2015年论文

@zh-cn

name

Combining MLC and SVM Classifi ...... king: Analysis and Evaluations

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Combining MLC and SVM Classifi ...... king: Analysis and Evaluations

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type

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label

Combining MLC and SVM Classifi ...... king: Analysis and Evaluations

@ast

Combining MLC and SVM Classifi ...... king: Analysis and Evaluations

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prefLabel

Combining MLC and SVM Classifi ...... king: Analysis and Evaluations

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Combining MLC and SVM Classifi ...... king: Analysis and Evaluations

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P1476

Combining MLC and SVM Classifi ...... king: Analysis and Evaluations

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P2093

Jianmin Jiang

http://www.w3.org/2001/XMLSchema#string

Yi Zhang

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P2860

Selecting a minimal number of relevant genes from microarray data to design accurate tissue classifiers.

Medical image analysis with artificial neural networks.

Support-vector networks

Multicategory Support Vector Machines

A fuzzy topology-based maximum likelihood classification

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423581

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scholarly article

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10.1155/2015/423581

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2015

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P50

Jinchang Ren

P577

2015-05-21T00:00:00Z

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277937520

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26089862

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4455534

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