Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
—This paper presents power flow models of a self-excited induction generator. These models are used for steady-state power flow calculation in electric power systems in which a g...
Molecular biological models usually suffer from a large combinatorial explosion. Indeed, proteins form complexes and modify each others, which leads to the formation of a huge num...
In this work, we propose to improve the neighboring relationship ability of the Hidden Markov Chain (HMC) model, by extending the memory lengthes of both the Markov chain process ...
Product recommendation models are key tools in customer relationship management (CRM). This study develops a product recommendation model based upon the principle that customer pr...