Browsing Computer Science by Subject "Machine Learning"
Now showing items 21-28 of 28
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Social Choice for Partial Preferences Using Imputation
(University of Waterloo, 2016-06-21)Within the field of multiagent systems, the area of computational social choice considers the problems arising when decisions must be made collectively by a group of agents. Usually such systems collect a ranking of the ... -
A Statistical Analysis of the Aggregation of Crowdsourced Labels
(University of Waterloo, 2015-10-29)Crowdsourcing, due to its inexpensive and timely nature, has become a popular method of collecting data that is difficult for computers to generate. We focus on using this method of human computation to gather labels for ... -
StyleCounsel: Seeing the (Random) Forest for the Trees in Adversarial Code Stylometry
(University of Waterloo, 2018-01-12)Authorship attribution has piqued the interest of scholars for centuries, but had historically remained a matter of subjective opinion, based upon examination of handwriting and the physical document. Midway through the ... -
Training of Template-Specific Weighted Energy Function for Sequence-to-Structure Alignment
(University of Waterloo, 2008-09-26)Threading is a protein structure prediction method that uses a library of template protein structures in the following steps: first the target sequence is matched to the template library and the best template structure ... -
Trust Region Methods for Training Neural Networks
(University of Waterloo, 2017-11-09)Artificial feed-forward neural networks (ff-ANNs) serve as powerful machine learning models for supervised classification problems. They have been used to solve problems stretching from natural language processing to ... -
Unsupervised Spectral Ranking For Anomaly Detection
(University of Waterloo, 2014-09-10)Anomaly detection is the problem of finding deviations from expected normal patterns. A wide variety of applications, such as fraud detection for credit cards and insurance, medical image monitoring, network intrusion ... -
Variational Inference for Text Generation: Improving the Posterior
(University of Waterloo, 2020-08-10)Learning useful representations of data is a crucial task in machine learning with wide ranging applications. In this thesis we explore improving representations of models based on variational inference by improving the ... -
Weakly-supervised Semantic Segmentation with Regularized Loss Hyperparameter Search
(University of Waterloo, 2021-09-20)Weakly supervised segmentation signi cantly reduces user annotation e ort. Recently, regularized loss was proposed for single object class segmentation under image-level weak supervision. Regularized loss consists of ...