Abstract. This paper proposes a new sliding mode controller using neural networks. Multilayer neural networks with the error back-propagation learning algorithm are used to compens...
We recently proposed action formalisms based on description logics (DLs) as decidable fragments of well-established action theories such as the Situation Calculus and the Fluent C...
Hongkai Liu, Carsten Lutz, Maja Milicic, Frank Wol...
The Semantic Web has been gaining increasing attention, spurring a large number of initiatives to design and implement applications in this environment. This paper proposes an app...
In the paper, a new optimal learning algorithm for a neo-fuzzy neuron (NFN) is proposed. The algorithm is characteristic in that it provides online tuning of not only the synaptic...
We present a general framework for defining priors on model structure and sampling from the posterior using the Metropolis-Hastings algorithm. The key ideas are that structure pri...