That's also weird to me. Both Probit (1934) and Logistic regression (1943) models, which are also linear classifiers, precede the Perceptron model (1958) by many years.
Do you have any good references of this phenomenon in hierarchical models?
This is a valid point, but I think in part the data science / machine learning cycle doesn't reward careful development like software engineering does. Most of the time you're just testing the viability of things and…
That's also weird to me. Both Probit (1934) and Logistic regression (1943) models, which are also linear classifiers, precede the Perceptron model (1958) by many years.
Do you have any good references of this phenomenon in hierarchical models?
This is a valid point, but I think in part the data science / machine learning cycle doesn't reward careful development like software engineering does. Most of the time you're just testing the viability of things and…