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A Bayesian Classifier that Learns the Task Complexity
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A Bayesian Classifier that Learns the Task Complexity

15 Aug A Bayesian Classifier that Learns the Task Complexity

Posted at 07:16h in Data Science by

Robust machine-learning classification with adequate simplicity by determining the structure of the task.

Classification

Classification is a challenge for AI and humans alike. I’ve created a new classifier that can adapt the so-called Naïve Bayes, which is a key assumption of a robust Bayesian classification algorithm. The new classifier can learn if the data seems to violate the assumption, and adjust classification accordingly.

Realization

Design in R-Statistics, JavaScript, PhP. Part of the Deutsche Forschungsgemeinschaft (DFG) priority program New Frameworks of Rationality.

Read More

You can read the scientific paper in Cognitive Science.

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