Despite the increasing research activity on structural use of glass in the past years, there is still a lack of comprehensive design codes and standards linked to real-life applications on a structural level. However, more and more ambitious buildings and structures are built every year. Thus the knowledge is out there. The aim of the presented project is to collect data on the existing design ...

We study the problem of prediction with expert advice when the number of experts in question may be extremely large or even infinite. We devise an algorithm that obtains a tight regret bound of r OpǫT `N ` ? NT q, where N is the empirical ǫ-covering number of the sequence of loss functions generated by the environment. In addition, we present a hedging procedure that allows us to find the optim...

today, a correct understanding and skills necessary to reform affairs as well as a culture based on knowledge and continuous learning in the organizations are important elements in the management of sports organizations. so the present study aimed to investigate the relationship between triple management skills (conceptual, humanistic, technical) and organizational learning in managers of physi...

aim: the aim of this study is to identify a framework of needed expertise for publishing academic electronic textbooks according to the characteristics of this kind of books. therefore the final result focuses on needed experts through the consensus method. method: delphi technique using the researcher made questionnaire was done in four rounds. the research population was composed of forty exp...

Machine learning (ML) models have been quite successful in predicting outcomes many applications. However, some cases, domain experts might a judgment about the expected outcome that conflict with prediction of ML models. One main reason for this is training data not be totally representative population. In paper, we present novel framework aims at leveraging experts' to mitigate conflict. The ...

Recently, graph neural networks (GNNs) have been successfully applied to predicting molecular properties, which is one of the most classical cheminformatics tasks with various applications. Despite their effectiveness, we empirically observe that training a single GNN model for diverse molecules distinct structural patterns limits its prediction performance. In this paper, motivated by observat...