Sep 9, 2006 · The CombNET-II is a large scale classifier that follows the classic structure of divide-and-conquer methods: a gating network and many experts ...
CombNET-III: A Support Vector Machine Based Large Scale Classifier with Probabilistic Framework. Authors. Mauricio KUGLER; Susumu KUROYANAGI; Anto Satriyo ...
This paper proposes an extension to this model, named CombNET-III, which replaces the MLP branch networks with multiclass SVMs and introduces a new ...
It also introduces a new probabilistic framework that outputs posterior class probabilities, enabling the model to be applied in different scenarios (e.g. ...
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The main modifications over the previous model was the substitution of the expert networks by Support Vectors Machines (SVM) and the development of a general ...
Iwata, “CombNET-III: A support vector machine based large scale classifier with probabilistic framework,” IEICE Trans. Inf. & Syst., vol. E89-D, no. 9, pp ...
Iwata, “CombNet-III: A support vector machine based large scale classifier with probabilistic framework,” IEICE Trans. Inf. & Syst., vol.E89-D, no.9, pp ...
Feb 2, 2008 · The latest extension,. CombNET-III [13], substituted the original MLP based ex- perts by multiclass SVM. It also implements a probabilistic.
Full-text available. CombNET-III: A Support Vector Machine Based Large Scale Classifier with Probabilistic Framework. September 2006 · IEICE Transactions on ...