Iterative algorithm based on quantum tunneling is proposed by making use of mean-eld approximation. W e apply our method to the problem of BW image reconstruction (IR). Its perfor...
The problem of model selection is considerably important for acquiring higher levels of generalization capability in supervised learning. In this paper, we propose a new criterion ...
Abstract. A prediction scheme for spatio-temporal time series is presented that is based on reconstructed local states. As a numerical example the ev olution of a Kuramoto-Sivashin...
: Support Vector Machines (SVMs) have become an increasingly popular tool for machine learning tasks involving classi cation, regression or novelty detection. They exhibit good gen...
This paper describes a novel image registration method for movementcorrection of fMR time-series. It is important to align the fMR images in the time-series before time-dependent a...