Sample re-weighting hyper box classifier for multi-class data classification
• We propose two multi-class data classification methods. • A sample weighting scheme has been incorporated into a literature classifier. • Benchmark datasets demonstrate efficiency of the proposed classifier. • A data partition method is proposed that reduce computational cost.
Autor*in: |
Yang, Lingjian [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2015 |
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Schlagwörter: |
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Umfang: |
13 |
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Übergeordnetes Werk: |
Enthalten in: Exploring the drying behaviors of microencapsulated noni juice using reaction engineering approach (REA) mathematical modelling - Zhang, Chuang ELSEVIER, 2018, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:85 ; year:2015 ; pages:44-56 ; extent:13 |
Links: |
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DOI / URN: |
10.1016/j.cie.2015.02.022 |
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ELV023622547 |
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10.1016/j.cie.2015.02.022 doi GBVA2015012000005.pica (DE-627)ELV023622547 (ELSEVIER)S0360-8352(15)00101-1 DE-627 ger DE-627 rakwb eng 004 004 DE-600 630 640 VZ 58.34 bkl Yang, Lingjian verfasserin aut Sample re-weighting hyper box classifier for multi-class data classification 2015 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • We propose two multi-class data classification methods. • A sample weighting scheme has been incorporated into a literature classifier. • Benchmark datasets demonstrate efficiency of the proposed classifier. • A data partition method is proposed that reduce computational cost. Hyper box representation Elsevier Mixed integer optimisation Elsevier Multi-class data classification Elsevier Mathematical programming Elsevier Liu, Songsong oth Tsoka, Sophia oth Papageorgiou, Lazaros G. oth Enthalten in Elsevier Science Zhang, Chuang ELSEVIER Exploring the drying behaviors of microencapsulated noni juice using reaction engineering approach (REA) mathematical modelling 2018 Amsterdam [u.a.] (DE-627)ELV00175033X volume:85 year:2015 pages:44-56 extent:13 https://doi.org/10.1016/j.cie.2015.02.022 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 58.34 Lebensmitteltechnologie VZ AR 85 2015 44-56 13 045F 004 |
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10.1016/j.cie.2015.02.022 doi GBVA2015012000005.pica (DE-627)ELV023622547 (ELSEVIER)S0360-8352(15)00101-1 DE-627 ger DE-627 rakwb eng 004 004 DE-600 630 640 VZ 58.34 bkl Yang, Lingjian verfasserin aut Sample re-weighting hyper box classifier for multi-class data classification 2015 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • We propose two multi-class data classification methods. • A sample weighting scheme has been incorporated into a literature classifier. • Benchmark datasets demonstrate efficiency of the proposed classifier. • A data partition method is proposed that reduce computational cost. Hyper box representation Elsevier Mixed integer optimisation Elsevier Multi-class data classification Elsevier Mathematical programming Elsevier Liu, Songsong oth Tsoka, Sophia oth Papageorgiou, Lazaros G. oth Enthalten in Elsevier Science Zhang, Chuang ELSEVIER Exploring the drying behaviors of microencapsulated noni juice using reaction engineering approach (REA) mathematical modelling 2018 Amsterdam [u.a.] (DE-627)ELV00175033X volume:85 year:2015 pages:44-56 extent:13 https://doi.org/10.1016/j.cie.2015.02.022 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 58.34 Lebensmitteltechnologie VZ AR 85 2015 44-56 13 045F 004 |
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sample re-weighting hyper box classifier for multi-class data classification |
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• We propose two multi-class data classification methods. • A sample weighting scheme has been incorporated into a literature classifier. • Benchmark datasets demonstrate efficiency of the proposed classifier. • A data partition method is proposed that reduce computational cost. |
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• We propose two multi-class data classification methods. • A sample weighting scheme has been incorporated into a literature classifier. • Benchmark datasets demonstrate efficiency of the proposed classifier. • A data partition method is proposed that reduce computational cost. |
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• We propose two multi-class data classification methods. • A sample weighting scheme has been incorporated into a literature classifier. • Benchmark datasets demonstrate efficiency of the proposed classifier. • A data partition method is proposed that reduce computational cost. |
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Sample re-weighting hyper box classifier for multi-class data classification |
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cost.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Hyper box representation</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Mixed integer optimisation</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Multi-class data classification</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Mathematical programming</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liu, Songsong</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tsoka, Sophia</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Papageorgiou, Lazaros G.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Zhang, Chuang ELSEVIER</subfield><subfield code="t">Exploring the drying behaviors of microencapsulated noni juice using reaction engineering approach (REA) mathematical modelling</subfield><subfield code="d">2018</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV00175033X</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:85</subfield><subfield code="g">year:2015</subfield><subfield code="g">pages:44-56</subfield><subfield code="g">extent:13</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.cie.2015.02.022</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" 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