Design and Analysis of Consistent Algorithms for Multiclass Learning Problems

@inproceedings{Harish2015DesignAA,
  title={Design and Analysis of Consistent Algorithms for Multiclass Learning Problems},
  author={Guruprasad Ramaswami Harish},
  year={2015}
}
We consider the broad framework of supervised learning, where one gets examples of objects together with some labels (such as tissue samples labeled as cancerous or noncancerous, or images of handwritten digits labeled with the correct digit in 0-9), and the goal is to learn a prediction model which given a new object, makes an accurate prediction. The notion of accuracy depends on the learning problem under study and is measured by a performance measure of interest. A supervised learning… CONTINUE READING

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