A number of published techniques have emerged in the trading community for stock prediction tasks. Among them is neural network (NN). In this paper, the theoretical background of ...
Philip M. Tsang, Paul Kwok, Steven O. Choy, Reggie...
This paper examines the driving and opposing forces that are governing the current paradigm shift from a data-processing information technology environment without software intell...
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
This paper employs the network perspective to study patterns and structures of intraorganizational learning networks. The theoretical background draws from cognitive theories, the...
We consider the inverse problem of reconstructing thin tubular inclusions inside some three-dimensional body from measurements of electrostatic currents and potentials on its bound...