187 research outputs found
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Towards expressive modular rule induction for numerical attributes
The Prism family is an alternative set of predictive data mining algorithms to the more established decision tree data mining algorithms. Prism classifiers are more expressive and user friendly compared with decision trees and achieve a similar accuracy compared with that of decision trees and even outperform decision trees in some cases. This is especially the case where there is noise and clashes in the training data. However, Prism algorithms still tend to overfit on noisy data; this has led to the development of pruning methods which have allowed the Prism algorithms to generalise better over the dataset. The work presented in this paper aims to address the problem of overfitting at rule induction stage for numerical attributes by proposing a new numerical rule term structure based on the Gauss Probability Density Distribution. This new rule term structure is not only expected to lead to a more robust classifier, but also lowers the computational requirements as it needs to induce fewer rule terms
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'Distance needn't mean distant': Promoting a distance learning model of teacher education in a changing educational landscape
A poster and pitch presentation on The Open University in Wales' use of distance learning within the Post Graduate Certificate in Education (PGCE) course.  Embracing the use of virtual platforms reduced challenges such as geographical differences and student isolation, allowing the University to provide continuity of support and professional learning for student teachers across Wales. This newly co-constructed PGCE course enabled the Open University’s partnership with schools to proactively support diversity in the teaching profession, offering access to a wider demographic. The distance learning model was a key aspect in building a more diverse Professional Learning Community and strengthening the bilingual PGCE Partnership at the Open University in Wales
Identification of a novel ligand for the ATAD2 bromodomain with selectivity over BRD4 through a fragment growing approach
Structure-guided expansion of a fragment hit for the ATAD2 bromodomain enabled improvement in ATAD2 inhibition and selectivity over BRD4.</p
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