connectionist learning

Dec 20 2022

The concept of overgeneralisation and goodness of rank : Overfitting is not about comparing training and test learning curves

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Preamble     Walt Disney Hall, Los Angeles  (Wikipedia)Unfortunately, it is still thought in machine learning classes that overfitting can be detected by comparing training and test learning curves on the single model's performance.  The origins of this misconception is unknown. Looks like an...

machine learning stat interpretable machine learning connectionist learning overgenearlisation bayesian inference

Sep 20 2022

Building robust AI systems: Is an artificial intelligent agent just a probabilistic boolean function?

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Preamble    George Boole (Wikipedia)Agent, AI agent or an intelligent agent is used often to describe algorithms or AI systems that are released by research teams recently. However, the definition of an intelligent agent (IA) is a bit opaque. Naïvely thinking, it is nothing more than a decision...

functional programming causality deep learning reinforcement learning interpretable machine learning connectionist learning robustness bayesian statistics.