Up: SNoW User Manual
- Default algorithmic parameters for SNoW's algorithms. Perceptron
uses its ``learning rate'' for promotion, and the opposite thereof for
demotion. Winnow uses for promotion and for demotion.
- Partial truth table and SNoW examples for the concept
SNoW (with default parameters) will create two target nodes, and each can be
said to learn a separate concept. One learns to build a bigger activation for
positive examples (label 1), and the other learns to build a bigger activation
for negative examples (label 0).