Browsing Mathematics (Faculty of) by Subject "Machine learning"
Now showing items 1-8 of 8
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Closing the Modelling Gap: Transfer Learning from a Low-Fidelity Simulator for Autonomous Driving
(University of Waterloo, 2020-01-24)The behaviour planning subsystem, which is responsible for high-level decision making and planning, is an important aspect of an autonomous driving system. There are advantages to using a learned behaviour planning system ... -
Modelling Chart Trajectories using Song Features
(University of Waterloo, 2019-08-23)Over the years, hit song science has been a controversial topic within music information retrieval. Researchers have debated whether an unbiased dataset can be constructed to model song performance in a meaningful way. ... -
Nonlinear Dimensionality Reduction with Side Information
(University of Waterloo, 2006)In this thesis, I look at three problems with important applications in data processing. Incorporating side information, provided by the user or derived from data, is a main theme of each of these problems. <br /><br ... -
Policy Extraction via Online Q-Value Distillation
(University of Waterloo, 2019-08-27)Recently, deep neural networks have been capable of solving complex control tasks in certain challenging environments. However, these deep learning policies continue to be hard to interpret, explain and verify which limits ... -
A Socio-mathematical and Structure-Based Approach to Model Sentiment Dynamics in Event-Based Text
(University of Waterloo, 2017-09-27)Natural language texts are often meant to express or impact the emotions of individuals. Recognizing the underlying emotions expressed in or triggered by textual content is essential if one is to arrive at an understanding ... -
Training Reject-Classifiers for Out-of-distribution Detection via Explicit Boundary Sample Generation
(University of Waterloo, 2020-01-24)Discriminatively trained neural classifiers can be trusted only when the input data comes from the training distribution (in-distribution). Therefore, detecting out-of-distribution (OOD) samples is very important to avoid ... -
The use of machine learning algorithms in recommender systems: A systematic review
(Elsevier, 2018-05-01)Recommender systems use algorithms to provide users with product or service recommendations. Recently, these systems have been using machine learning algorithms from the field of artificial intelligence. However, choosing ... -
Using Machine Learning Algorithms for Finding the Topics of COVID-19 Open Research Dataset Automatically
(University of Waterloo, 2021-02-26)The COVID-19 Open Research Dataset (CORD-19) is a collection of over 400,000 of scholarly papers (as of January 11th, 2021) about COVID-19, SARS-CoV-2, and related coronaviruses curated by the Allen Institute for AI. ...