Abstract When aligning joint distributions between domains, the existing transfer learning algorithms usually assign pseudo labels due to lack of in target domain. However, noise will affect performance learning. Pseudo-label self-training for (PST-TL) model is proposed generate reliable domain and have a wide range applications algorithms. Pseudo are predicted by an ensemble classifier using a...

An Artificial Neural Network (ANN) is an abstract representation of the biological nervous system which has the ability to solve many complex problems. The interesting attributes it exhibits makes an ANN capable of ―learning‖. ANN learning is achieved by training the neural network using a training algorithm. Aside from choosing a training algorithm to train ANNs, the ANN structure can also be ...