Now showing items 1-4 of 4
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 ...
A Study in Preference Elicitation under Uncertainty
(University of Waterloo, 2011-08-30)
In many areas of Artificial Intelligence (AI), we are interested in helping people make better decisions. This help can result in two advantages. First, computers can process large amounts of data and perform quick ...
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 ...
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 ...