Perceptrons

As a graduate student, he studied neural networks (then called "perceptrons"), a brand-new idea at the time. ❋ Unknown (2010)

Minsky was working on perceptrons (modelled after our neurons) back in the late 60's, but that wasn't the ticket. ❋ Italianbeef (2005)

Connectionist: With Connectionist speech recognition knowledge about a spoken input is gained by analyzing the input and storing it in a variety of ways from simple multi-layer perceptrons to time delay neural nets to recurrent neural nets. ❋ Unknown (2009)

He pissed all over perceptrons, and in part caused that halt in funding known as the AI Winter. ❋ Unknown (2009)

Connectionist: With Connectionist speech rocognition knowledge about a spoken input is gained by analyzing the input and storing it in a variety of ways from simple multi-layer perceptrons to time delay neural nets to recurrent neural nets. ❋ Unknown (2008)

- They have all the same limitations as perceptrons in what types of function they can learn. ❋ Unknown (2008)

Support Vector Machines are just perceptrons with a clever way of choosing the non-adaptive, non-linear basis functions and a better learning procedure. ❋ Unknown (2008)