Year: 2016, 2016
Member of: Trent University Graduate Thesis Collection
Abstract: <p>In this work, various aspects of neural networks, pre-trained with denoising autoencoders (DAE) are explored. To saturate neurons more quickly for feature learning in DAE, an activation function that offers higher gradients is introduced. Moreover, the introduction of sparsity functions applied to the hidden layer representations is studied. More importantly, a technique that swaps the… more Full Text: SPAF-network with Saturating Pretraining Neurons A Thesis Submitted to the Committee of Graduate Studies in Partial Fulfillment of the Requirements for the Degree of Master of Science in the Faculty of Arts and Science TRENT UNIVERSITY Peterborough, …
Year: 2016, 2016
Member of: Trent University Graduate Thesis Collection
Abstract: <p>We investigated if the performance of selected supervised machine-learning techniques could be improved by combining univariate outlier-detection techniques and machine-learning methods. We developed a framework to discover class-specific thresholds in class probability estimates using univariate outlier detection and proposed two novel techniques to utilize these class-specific… more Full Text: UTILIZING CLASS-SPECIFIC THRESHOLDS DISCOVERED BY OUTLIER DETECTION A Thesis Submitted to the Committee on Graduate Studies in Partial Fulfillment of the Requirements for the Degree of Master of Science in the Faculty of Arts and Science TRENT UNIVERSITY …