Vector quantisation and its associated learning algorithms form an essential framework within modern machine learning, providing interpretable and computationally efficient methods for data ...

Abstract: Vector Quantization is one of the methods used for state space generalization in reinforcement learning. However, all the clusters that will be used in learning are usually created at the ...

A classification problem is a supervised learning problem that asks for a choice between two or more classes, usually providing probabilities for each class. Leaving out neural networks and deep ...