A Novel Bayesian Classifier using Copula Functions
<|reference_start|>A Novel Bayesian Classifier using Copula Functions: A useful method for representing Bayesian classifiers is through \emph{discriminant functions}. Here, using copula functions, we propose a new model for discriminants. This model provides a rich and generalized class of decision boundaries. These decision boundaries significantly boost the classification accuracy especially for high dimensional feature spaces. We strengthen our analysis through simulation results.<|reference_end|>
@article{sathe2006a,
    title={A Novel Bayesian Classifier using Copula Functions},
    author={Saket Sathe},
    journal={arXiv preprint arXiv:cs/0611150},
    year={2006},
    archivePrefix={arXiv},
    eprint={cs/0611150},
    primaryClass={cs.LG cs.AI cs.IR}
}