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Mark I Perceptron machine, the first implementation of the perceptron algorithm. It was connected to a camera with 20×20 cadmium sulfide photocells to
Mark I Perceptron machine, the first implementation of the perceptron algorithm. It was connected to a camera with 20×20 cadmium sulfide photocells to make a 400-pixel image. The main visible feature is the sensory-to-association plugboard, which sets different combinations of input features. To the right are arrays of potentiometers that implemented the adaptive weights.
The Mark 1 Perceptron, being adjusted by Charles Wightman (Mark I Perceptron project engineer). Sensory units at left, association units in center, an
The Mark 1 Perceptron, being adjusted by Charles Wightman (Mark I Perceptron project engineer). Sensory units at left, association units in center, and control panel and response units at far right. The sensory-to-association plugboard is behind the closed panel to the right of the operator. The letter "C" on the front panel is a display of the current state of the sensory input.
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Clustering via Large Indel Permuted Slopes, CLIPS, turns the alignment image into a learning regression problem. The varied slope (b) estimates betwee
Clustering via Large Indel Permuted Slopes, CLIPS, turns the alignment image into a learning regression problem. The varied slope (b) estimates between each pair of DNA segments enables to identify segments sharing the same set of indels.
A decision tree showing survival probability of passengers on the Titanic
A decision tree showing survival probability of passengers on the Titanic