Multiclass Support Vector Machines

Multiclass Support Vector Machines is a classification framework that extends the binary Support Vector Machine to handle multiple classes by constructing a series of hyperplanes in a high-dimensional space to maximize the margin between different classes in a simultaneous or hierarchical manner.

1.3K

Publications

147.6K

Citations

3.4K

Authors

1.1K

Institutions

Publications per year

2017–2026

409

Authors

3.4K

  1. SM
    Sebastián Maldonado

    Universidad de Los Andes, Chile, Chile

    9 publications · 491 citations

    9

    h-index

  2. YX
    Yitian Xu

    China Agricultural University, China

    8 publications · 211 citations

    8

    h-index

  3. AC
    André C. P. L. F. de Carvalho

    Universidade de São Paulo, Brazil

    8 publications · 345 citations

    8

    h-index

  4. CL
    Chih‐Jen Lin

    National Taiwan University, Taiwan

    8 publications · 43.7K citations

    8

    h-index

  5. JL
    Julio López

    Universidad Diego Portales, Chile

    7 publications · 144 citations

    7

    h-index

1–5 of 3.4K

Venues

  1. Expert Systems with Applications

    37 publications · 3.7K citations

    29

    h-index

  2. Neurocomputing

    30 publications · 4.2K citations

    23

    h-index

  3. Pattern Recognition

    24 publications · 2.3K citations

    20

    h-index

  4. Applied Soft Computing

    25 publications · 1.2K citations

    19

    h-index

  5. Knowledge-Based Systems

    15 publications · 677 citations

    14

    h-index

1–5