Abstract. Capturing regularities in high-dimensional data is an important problem in machine learning and signal processing. Here we present a statistical model that learns a nonli...
Daelemans W. Abstraction Considered Harmful: Lazy Learning of Language Processing. Proceedings of the 6th 5th Belgian-Dutch Conference on Machine Learning 1996; 3-12.
An open problem in reinforcement learning is discovering hierarchical structure. HEXQ, an algorithm which automatically attempts to decompose and solve a model-free factored MDP h...
Abstract. We describe an algorithm called TargetCluster for the discretization of continuous targets in subgroup discovery. The algorithm identifies patterns in the target data an...