In machine learning, the perceptron is an algorithm for supervised classification of an input into one of several possible non-binary outputs. It is a type of linear classifier, i.e. a classification algorithm that makes its predictions based on a linear predictor function combining a set of weights with the feature vector. The algorithm allows for online learning, in that it processes elements in the training set one at a time.The perceptron algorithm was invented in 1957 at the Cornell Aeronautical Laboratory by Frank Rosenblatt.
Posts about Perceptron
  • Patterns Among Templates Lead to Clues About Entities

    …, to learn about entities on the Web, and what type of entity each of those might be? For example, the Wikipedia infobox below for John Muir tells us more about the environmentalist. By the existence of a page and a template for him at Wikipedia, and information about his date of birth, type of occupation and so on, we know that he was a person…

    Bill Slawski/ SEO by the Seain Google- 6 readers -