4 citations · 6 across the 4 of their papers we have counts for
4 papers
Solving for multi-class: a survey and synthesis
Peter Mills
Many of the best statistical classification algorithms are binary classifiers that can only distinguish between one of two classes. The number of possible ways of generalizing bina…
Solving for multi-class using orthogonal coding matrices
Peter Mills
A common method of generalizing binary to multi-class classification is the error correcting code (ECC). ECCs may be optimized in a number of ways, for instance by making them orth…
Accelerating Kernel Classifiers Through Borders Mapping
Peter Mills
Support vector machines (SVM) and other kernel techniques represent a family of powerful statistical classification methods with high accuracy and broad applicability. Because they…
Multi-borders classification
Peter Mills
The number of possible methods of generalizing binary classification to multi-class classification increases exponentially with the number of class labels. Often, the best method o…