Introduction to the perceptron (SMILS)

Description and objectives:

In this project the student will familiarize itself with the problem of classification via the perceptron. Classical results on the capacity of the  perceptron for random inputs in R^n and a simple perceptron learning algorithm wil be studied through the literature.

In a second phase the student will numerically investigate simple algorithms for simple models of structured sparse inputs.


A taste for programming

Lab and supervisor:

Nicolas Macris (for more information please contact me)

Number of students: