We develop a new mathematical framework, which embeds weighted graphs into quasi metric spaces. This concept establishes a theoretical basis to apply neural learning machines for structured data. To ...

Perceptron learning rule is a modified version of the binary linear classification where instead of a threshold that will result in a 1 for postively classified data points and 0 for negatively ...

Algorithm 2 Gradient descent based learning algorithm for the signal perceptron. Interestingly, just as Algorithm 1, the implementation of Algorithm 2 allowed us to learn the same parameters depicted ...

Perceptron is the first neural network to be created. It was designed by Frank Rosenblatt in 1957. Perceptron is a single layer neural network. This is the only neural network without any hidden layer ...

Abstract: We develop a new mathematical framework, which embeds weighted graphs into quasi metric spaces. This concept establishes a theoretical basis to apply neural learning machines for structured ...

Thus we have a Data set X and its corresponding Labels Y. Algorithms: PLA: The Perceptron Learning Algorithm uses the concept of a perceptron to learn from the dataset. The steps in the algorithm can ...