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Stamatis Karlos, Georgios Kostopoulos and Sotiris Kotsiantis
Multi-view learning is a machine learning app0roach aiming to exploit the knowledge retrieved from data, represented by multiple feature subsets known as views. Co-training is considered the most representative form of multi-view learning, a very effecti...
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Halit Apaydin, Hajar Feizi, Mohammad Taghi Sattari, Muslume Sevba Colak, Shahaboddin Shamshirband and Kwok-Wing Chau
Due to the stochastic nature and complexity of flow, as well as the existence of hydrological uncertainties, predicting streamflow in dam reservoirs, especially in semi-arid and arid areas, is essential for the optimal and timely use of surface water res...
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Guangluan Xu, Xiaoke Wang, Yang Wang, Daoyu Lin, Xian Sun and Kun Fu
Link prediction is a task predicting whether there is a link between two nodes in a network. Traditional link prediction methods that assume handcrafted features (such as common neighbors) as the link?s formation mechanism are not universal. Other popula...
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Heba M. Wagih, Hoda M. O. Mokhtar and Samy S. Ghoniemy
Recently, social networks have shown huge potential in terms of collaborative web services and the study of peer influence as a result of the massive amount of data, datasets, and interrelations generated. These interrelations cannot guarantee the succes...
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Jan Burnewicz
Pág. 7 - 18
This article is a generalization of the author?s experience gathered when preparing transport development forecasts in Poland over the past quarter of a century. These forecasts have proved to be less accurate when prepared using only quantitative and st...
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