Supervised Multiclass Classification Algorithm

A Supervised Multiclass Classification Algorithm is a Supervised Classification Algorithm that can solves a Supervised Multiclass Classification Task.

• AKA: Multiclass Supervised Classification Algorithm.
• Context:
  • It can be an Imbalanced Supervised Classification Algorithm, if it can handle an Imbalanced Training Dataset (with a skewed distribution of that target classes).
  • It can be susceptible to the Quantity of Target Classes.
  • It can be:
    • a Single Machine Multiclass Supervised Classification Algorithm.
    • based on a Binary-based Multiclass Supervised Classification Algorithm, such as a:
      • a One-vs-All Multiclass Supervised Classification Algorithm.
      • a All-vs-All Multiclass Supervised Classification Algorithm.
• Counter-Example(s):
  • an Unsupervised Multiclass Classification Algorithm.
  • a Binary Supervised Classification Algorithm.
  • a Supervised Regression Algorithm.
• See: Classification Algorithm.

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References

2004

• (Rifkin & Klatau, 2004) ⇒ Ryan Rifkin, and Aldebaro Klautau. (2004). "In Defense of One-Vs-All Classification." In: The Journal of Machine Learning Research, 5.

2002

• (Fürnkranz, 2002) ⇒ Johannes Fürnkranz. (2002). "Round Robin Classification." In: The Journal of Machine Learning Research, 2. doi:10.1162/153244302320884605

2001

• (Allwein & al, 2001) ⇒ Erin L. Allwein, Robert E. Schapire, and Yoram Singer. (2001). "Reducing Multiclass to Binary: a unifying approach for margin classifiers." In: The Journal of Machine Learning Research, 1. doi:10.1162/15324430152733133
• (Crammer & Singer, 2001a) ⇒ Koby Crammer, and Yoram Singer. (2001). "On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines." In: The Journal of Machine Learning Research, 2.

1995

• (Dietterich & Bakiri, 1995) ⇒ Thomas G. Dietterich, and Ghulum Bakiri. (1995). "Solving Multiclass Learning Problems via Error-Correcting Output Codes." In: Journal of Artificial Intelligence Research, 2.

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