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Enhanced Model Tree Application Framework for Developing Interpretable AI in Construction Engineering
DownloadFall 2020
The construction industry has been and continues to be overflown with data. Scholars have no problems dealing with this phenomenon through the incorporation of artificial intelligence (AI) methods like neural networks or random forests. However, when the time comes to practical application, the...
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Spring 2013
Gradient-TD methods are a new family of learning algorithms that are stable and convergent under a wider range of conditions than previous reinforcement learning algorithms. In particular, gradient-TD algorithms enable off-policy problems---problems where the distribution of the data is different...
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Learning Disabilities and Methodologies of Harm: Indigeneity, Pathologization, and Ambiguity in the Psychological Disciplines
DownloadFall 2020
In response to the Truth and Reconciliation Commission of Canada, the Canadian Psychological Association (CPA) and the Psychological Foundation of Canada (PFC) issued a joint statement identifying the harms that psychological research and intervention have caused Indigenous communities, while...