Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Xuejiao Du"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-15 (2023)
Abstract Learning from only positive and unlabeled (PU) data has broad applications in fields such as web data mining, product recommendations and medical diagnosis, which aims to train a binary classifier in the absence of negative labeled data. How
Externí odkaz:
https://doaj.org/article/0aa03685a2cf4031bbe55d2b3ca26675
Publikováno v:
Frontiers in Psychology, Vol 14 (2024)
Based on the development of the concept of a resource-saving and environmentally friendly society, needing to develop low-carbon and sustainable urban transportation. Most of the pollutants come from the emissions of motor vehicle exhaust. Therefore,
Externí odkaz:
https://doaj.org/article/6c66f9e747b64b20b073cb197829e2f5
Publikováno v:
Entropy, Vol 26, Iss 1, p 7 (2023)
In response to the challenge of overfitting, which may lead to a decline in network generalization performance, this paper proposes a new regularization technique, called the class-based decorrelation method (CDM). Specifically, this method views the
Externí odkaz:
https://doaj.org/article/dec702a9baa24eb4ac128ba3f64f2570
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
Working memory capacity may be a critical factor that influences the effectiveness of collaborative learning; however, no studies have directly explored this effect. Using worked examples as learning tasks, Experiment 1 used a 2 (working memory capac
Externí odkaz:
https://doaj.org/article/3aed26855903439287f8d7d5ed9d95cb
Publikováno v:
Frontiers in Education, Vol 7 (2022)
The no-subgoal-worked examples and the subgoal-worked examples are “one problem and two solutions.” Previous studies have found that the effect of subgoal-worked examples learning is better than that of no-subgoal-worked examples. However, there
Externí odkaz:
https://doaj.org/article/9120d9e7adf148ffb2572ef6cb74c344
Publikováno v:
IEEE Access, Vol 6, Pp 52374-52384 (2018)
The reliability analysis of complex repairable systems is an important but computationally intensive task that requires fitting the failure data of whole life cycles well. Because the existing reliability models are mainly based on the assumptions th
Externí odkaz:
https://doaj.org/article/b104f4219a49469ca71c6d14bfc54531
Publikováno v:
Quality and Reliability Engineering International.
Publikováno v:
Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021).
Autor:
Xuejiao Du, Qi Zhang
Publikováno v:
Educational Psychology. 39:169-187
Previous research has verified the benefits obtained when learners trace out worked examples with the index finger. Our study conducted two experiments to explore the reasons for this phenomenon an...
Publikováno v:
Measurement. 185:110079
In gear fault diagnosis, most current intelligent fault diagnosis methods show good classification performance for fault pattern recognition. However, when detecting fault severity, the difficulty of diagnosis is increased due to the high similarity