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There are several commonly used multi-classification methods based on binary classifier, such as OAA (One Against All), OAO (One Against one), and DAG (directed acyclic graph) [27 29].
In this paper, Texas Instruments TMS320C6713 DSP based real-time speech recognition system using Modified One Against All Support Vector Machine (SVM) classifier is proposed.
This all perfectly fits their populist propaganda of "one against all and all against one". In Eastern Europe the political opportunity structure is much less favorable.
Having conceded five times in their madcap semi-final second leg tie against Sheffield United, the Robins were far too open again at the back, while going forward they rarely looked liked the fluid, possession-based team that had secured fourth place in League One against all expectations.
One Against All.
Further, Hastie's algorithm was found to perform better than one against one or one against all approach.
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We prove that the computational complexity of MSM at its worst lies between that of the one-against-all scheme and one-against-one scheme.
This method can effectively combine the mathematical methods and professional knowledge, and also overcome several drawbacks existing in the common decomposition methods, such as one-against-all, one-against-one and error-correcting output code.
Our study includes multi-class pattern classification using either a system of multiple neural networks or a single neural network, and modeling pattern classes using one-against-all, one-against-one, one-against-higher-order, and P-against-Q.
The performance of the system using the proposed SVM DL classifier is compared with those using other techniques: one-against-all (OAA), half-against-half (HAH) and directed acyclic graph (DAG).
The effects of different dimensionality reduction techniques for use in feature extraction were investigated to evaluate verification performance rates of a multi-class Support Vector Machine (SVM) with the One-Against-All (OAA) approach.
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