Abstract. Stability is an important property of machine learning algorithms. Stability in clustering may be related to clustering quality or ensemble diversity, and therefore used ...
Maurizio Filippone, Francesco Masulli, Stefano Rov...
An explicit exploration strategy is necessary in reinforcement learning (RL) to balance the need to reduce the uncertainty associated with the expected outcome of an action and the...
The on-line algorithms in machine learning are intended to discover unknown function of the domain based on incremental observing of it instance by instance. These algorithms have...
Helen Kaikova, Vagan Y. Terziyan, Borys Omelayenko
Abstract-The immune system is a complex biological system with a highly distributed, adaptive and selforganising nature. This paper presents an Artificial Immune System (AIS) that ...
Abstract--This paper traces the development of neuralnetwork (NN)-based feedback controllers that are derived from the principle of adaptive/approximate dynamic programming (ADP) a...