Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   report about an investigation in which  studied the proper- ties of Bayes' inferred neural network classi- fiers in the context of outlier detection. The problem of misclassification due to outliers in the test data is seen as a serious prob- lem in safety critical environments.  com- pare the usual way to deal with uncertainty in the Bayesian framework with a new ap- proach based on the variance of the output layer activations and investigate the utility of both methods for outlier detection. The properties of both methods are visualized on a simple two dimensional classification prob- lem. An investigation comparing both meth- ods on some public data-sets with artificially constructed outlier patterns shod that a combination of the conventional method and the method proposed here should be used. These results where confirmed in a final ex- periment on real data, where a combination of both methods shod significantly better per- formance in rejecting outlying observations.
['Peter Sykacek']
I am writing a research paper on a idea Outliers and Bayesian Inference
[{"from": "human", "value": "I am writing a research paper on a idea Outliers and Bayesian Inference"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   report about an investigation in which  studied the proper- ties of Bayes' inferred neural network classi- fiers in the context of outlier detection. The problem of misclassification due to outliers in the test data is seen as a serious prob- lem in safety critical environments.  com- pare the usual way to deal with uncertainty in the Bayesian framework with a new ap- proach based on the variance of the output layer activations and investigate the utility of both methods for outlier detection. The properties of both methods are visualized on a simple two dimensional classification prob- lem. An investigation comparing both meth- ods on some public data-sets with artificially constructed outlier patterns shod that a combination of the conventional method and the method proposed here should be used. These results where confirmed in a final ex- periment on real data, where a combination of both methods shod significantly better per- formance in rejecting outlying observations."}]