Researchers at Stanford Unveil PLATO: A Novel AI Approach to Tackle Overfitting in High-Dimensional, Low-Sample Machine Learning with Knowledge Graph-Augmented Regularization

A knowledge graph (KG) is a graph-based database that stores information as nodes and edges. On the other hand, a multilayer perceptron (MLP) is a type of neural network used in machine learning. MLPs are composed of interconnected nodes arranged in multiple layers. Each node obtains input from the previous layer and sends output to […]

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