Browsing University of Waterloo by Subject "Artificial Intelligence"
Now showing items 1-20 of 26
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5G RAN/MEC Slicing and Admission Control using Deep Reinforcement Learning
(University of Waterloo, 2023-01-19)The 5G RAN functions can be virtualized and distributed across the radio unit (RU), distributed unit (DU), and centralized unit (CU) to facilitate flexible resource management. Complemented by multi-access edge computing ... -
Addressing the Issues of Coalitions and Collusion in Multiagent Systems
(University of Waterloo, 2013-05-22)In the field of multiagent systems, trust and reputation systems are intended to assist agents in finding trustworthy partners with whom to interact. Earlier work of ours identified in theory a number of security ... -
AlphaStar: Considerations and Human-like Constraints for Deep Learning Game Interfaces
(University of Waterloo, 2020-12-15)Games have historically been a fruitful area for artificial intelligence (AI) research, and StarCraft in particular has been an important grand challenge because of its strategic complexity, multi-agent dynamics, partial ... -
Applications of Artificial Intelligence to the NHL Entry Draft
(University of Waterloo, 2019-01-31)This thesis investigates the application of various fields of artificial intelligence to the domain of sports management and analysis. The research in this thesis is primarily focussed on the entry draft for the National ... -
An Architecture For Multi-Agent Systems Operating In Soft Real-Time Environments With Unexpected Events
(University of Waterloo, 2004)In this thesis, we explore the topic of designing an architecture and processing algorithms for a multi-agent system, where agents need to address potential unexpected events in the environment, operating under soft ... -
Architecture Saturated with Free-Thinking Machines
(University of Waterloo, 2015-05-08)This thesis explores the benefits and disadvantages for human occupants living within intelligent buildings and responsive environments that have developed the autonomy and the ability to make their own intelligent decisions ... -
Automated Hierarchy Discovery for Planning in Partially Observable Domains
(University of Waterloo, 2007-01-19)Planning in partially observable domains is a notoriously difficult problem. However, in many real-world scenarios, planning can be simplified by decomposing the task into a hierarchy of smaller planning problems which, ... -
A Class of Augmented Convolutional Networks Architectures for Efficient Visual Anomaly Detection
(University of Waterloo, 2021-07-23)Visual anomaly detection, the task of isolating visual data that do not conform to the defined notion of normality, is very crucial for the autonomous functioning of entities with exceptional potential in a spectrum of ... -
Convex Large Margin Training - Unsupervised, Semi-supervised, and Robust Support Vector Machines
(University of Waterloo, 2007-05-22)Support vector machines (SVMs) have been a dominant machine learning technique for more than a decade. The intuitive principle behind SVM training is to find the maximum margin separating hyperplane for a given set of ... -
Directly Learning Tractable Models for Sequential Inference and DecisionMaking
(University of Waterloo, 2016-06-21)Probabilistic graphical models such as Bayesian networks and Markov networks provide a general framework to represent multivariate distributions while exploiting conditional independence. Over the years, many approaches ... -
A Dynamic Vocabulary Speech Recognizer Using Real-Time, Associative-Based Learning
(University of Waterloo, 2006)Conventional speech recognizers employ a training phase during which many of their parameters are configured - including vocabulary selection, feature selection, and decision mechanism tailoring to these selections. After ... -
Emotions and Context in Decision-making for a Socially Intelligent Agent
(University of Waterloo, 2024-04-03)Artificial intelligence (AI) research has largely focused on rational thinking, decision making, goal achievement, and reward maximization. Emotions have been considered nonessential, or even detrimental, when designing ... -
A Framework for Resource Allocation in Time Critical Dynamic Environments Based on Social Welfare and Local Search and its Application to Healthcare
(University of Waterloo, 2014-02-14)This thesis provides an artificial intelligence approach for the problem of resource allocation in time-critical dynamic environments. Motivated by healthcare scenarios such as mass casualty incidents, we are concerned ... -
Harnessing the Power of Generative Models for Mobile Continuous and Implicit Authentication
(University of Waterloo, 2021-06-30)Authenticating a user's identity lies at the heart of securing any information system. A trade off exists currently between user experience and the level of security the system abides by. Using Continuous and Implicit ... -
Large-Scale Traffic Flow Prediction Using Deep Learning in the Context of Smart Mobility
(University of Waterloo, 2018-04-24)Designing and developing a new generation of cities around the world (termed as smart cities) is fast becoming one of the ultimate solutions to overcome cities' problems such as population growth, pollution, energy crisis, ... -
Multimodal Artificial Intelligence for Histopathology & Genomics Fusion
(University of Waterloo, 2024-01-29)The field of medical diagnostics has witnessed a transformative convergence of artificial intelligence (AI) and healthcare data, offering promising avenues for enhancing patient care and disease comprehension. However, ... -
Online Bayesian Learning in Probabilistic Graphical Models using Moment Matching with Applications
(University of Waterloo, 2016-05-18)Probabilistic Graphical Models are often used to e fficiently encode uncertainty in real world problems as probability distributions. Bayesian learning allows us to compute a posterior distribution over the parameters of ... -
Recommending messages to users in participatory media environments: a Bayesian credibility approach
(University of Waterloo, 2014-04-09)In this thesis, we address the challenge of information overload in online participatory messaging environments using an artificial intelligence approach drawn from research in multiagent systems trust modeling. In particular, ... -
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 ... -
Stochastic Mechanisms for Truthfulness and Budget Balance in Computational Social Choice
(University of Waterloo, 2013-01-23)In this thesis, we examine stochastic techniques for overcoming game theoretic and computational issues in the collective decision making process of self-interested individuals. In particular, we examine truthful, stochastic ...