… In Section 2, we survey related contributions on trust modeling, management, and computation
methods. Following that, the design principles of a trust framework are defined in Section …

… the application of machine learning trust models as better … indices of different machine
learning trust models in the … communication systems and the notion of trust. Section III gives an …

… trust evaluation based on machine learning. First, we cover essential prerequisites of trust
evaluation and machine learning… Then, we justify a number of requirements that a sound trust …

… management framework which is capable of processing different trust features as … , and a
trust model based on the solution of a multi-class classification problem using machine learning …

… the model’s stated accuracy on held-out data and on its observed accuracy in practice. We
find that people’s trust in a model is … machine learning, but moves beyond the typical focus on …

… of trust modeling. In this section, we first provide a brief review of traditional com… trust models
in Section 1.3.1. Then we discuss recently emerged machine learning based trust modeling …

… This inherent attribute of the model can enhance machine learning trust computation and
process accuracy. The model has major three types of parameters, namely the Boost, General …

… tools related to enhancing trust in ML models, which has … (STAR) on enhancing trust in ML
models with the use of interactive … Among our contributions is a categorization of trust against …

… trust model based on the existing trust evaluation technology, machine learning theory and
the cloud model … With the support of cloud model, trust evaluation method has been improved…

… Moreover, trust can … Trust to discuss trustworthiness technologies in all stages of the life
cycle. In so doing we establish the ways in which machine learning technologies support trusted …