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.

Gespeichert in:
Autor*in:

Yang, Lingjian [verfasserIn]

Liu, Songsong

Tsoka, Sophia

Papageorgiou, Lazaros G.

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2015

Schlagwörter:

Hyper box representation

Mixed integer optimisation

Multi-class data classification

Mathematical programming

Umfang:

13

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.]

Übergeordnetes Werk:

volume:85 ; year:2015 ; pages:44-56 ; extent:13

Links:

Volltext

DOI / URN:

10.1016/j.cie.2015.02.022

Katalog-ID:

ELV023622547

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