In this paper we propose the supervised version of neuro-based computational model of brain emotional learning (BEL). In mammalian brain, the limbic system processes emotional stimulus and consists of following two main ...

‎Label noise is a common problem that affects supervised learning and can produce misleading results‎. ‎It is shown that only 5% of switched labels lead to a decrease of performances‎. Therefore, the true class of an instance must be distinguished...

Semi-supervised learning with a growing self-organizing map (GSOM) is commonly used to cope with the machine

learning problems. The performance of semi-supervised GSOM is associated with the structure of clustering layer, the activation...