The purpose of this paper is to discuss some of the theory of Boolean matrices and apply this theory to construct contact networks by using algebraic methods.
The first section of this paper (Chapter I to III) describes Boolean algebra and its properties, the theory of Boolean matrices, and the...
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to identify statistically significant anomalies, a more difficult task is to identify anomalies that are both interesting and statistically significant. Category detection is an emerging area of machine learning...
This thesis considers the problem in which a teacher is interested in teaching action policies to computer agents for sequential decision making. The vast majority of policy
learning algorithms o er teachers little flexibility in how policies are taught. In particular,
one of two learning modes is typically considered: 1)...
In real networks, identifying dense regions is of great importance. For example, in a network that represents academic collaboration, authors within the densest component of the graph tend to be the most prolific. Dense subgraphs often identify communities in social networks. And dense subgraphs can be used to discover regulatory...
Machine learning systems are generally trained offline using ground truth data that has been labeled by experts. However, these batch training methods are not a good fit for many applications, especially in the cases where complete ground truth data is not available for offline training. In addition, batch methods do...
The paper describes research on the representation of knowledge. The goal is to develop a formalism which can be used for the testing of hypotheses on the nature of human understanding and as a foundation or artificial intelligence programs. The ideas expressed herein are implemented in a program which converses...
This paper describes a Lesson Generating System for CAI, which, by relieving the course author from the burden of programming, provides an efficient means for developing courseware to augment classroom instruction.
While individual portfolio diversity analysis is a well-studied problem in visualization, the visual analysis of individual or groups of portfolios, over time, has received little attention. Such analysis, however, is important to researchers who are interested in better understanding portfolio management behavior of experts as well as novices. We conducted...