Boundary Graph Machine Learning Algorithm for Regression and Classification

摘要

There is provided a system and method for training and utilizing a boundary graph machine learning algorithm. The system including a processor configured to receive a plurality of entry nodes, each of the plurality of entry nodes including an entry node input and an entry node output, add each of the plurality of entry nodes to a graph using the entry node input and the entry node output, receiving a plurality of training nodes, each of the plurality of training nodes including a training node input and a training node output, add each of the plurality of training nodes to the graph when the training node input for each of the plurality of training nodes is similar to the training node output of a closest node and the training node output of each of the plurality of training nodes is different than the training node output of the closest node.

主权项

1. A system, the system comprising:
a processor configured to execute a machine learning algorithm; and a memory configured to store the machine learning algorithm, the machine learning algorithm including a graph with nodes, wherein
each of the nodes is associated with an input data and an output data, andpairs of the nodes are connected by a boundary when the input data associated with a first node from the nodes is similar to the input data associated with a second node from the nodes and the output data associated with the first node from the nodes is different than the output data associated with the second node from the nodes.