Physical Sciences and Mathematics Commons^™

The Role Of Uncertainty In Categorical Perception Utilizing Statistical Learning In Robots, Nathaniel V. Powell

Graduate College Dissertations and Theses

At the heart of statistical learning lies the concept of uncertainty.

Similarly, embodied agents such as robots

and animals must likewise address uncertainty, as sensation

is always only a partial reflection of reality. This

thesis addresses the role that uncertainty can play in

a central building block of intelligence: categorization.

Cognitive agents are able to perform tasks like categorical perception

through physical interaction (active categorical perception; ACP),

or passively at a distance (distal categorical perception; DCP).

It is possible that the former scaffolds the learning of

the latter. However, it is unclear whether DCP indeed scaffolds

ACP in humans and …

Reviewing Power Outage Trends, Electric Reliability Indices And Smart Grid Funding, Shawn Adderly

Graduate College Dissertations and Theses

As our electric power distribution infrastructure has aged, considerable investment

has been applied to modernizing the electrical power grid through weatherization

and in deployment of real-time monitoring systems. A key question is whether or not

these investments are reducing the number and duration of power outages, leading to

improved reliability.

Statistical methods are applied to analyze electrical disturbance data (from the

Department of Energy, DOE) and reliability index data (from state utility public service

commission regulators) to detect signs of improvement. The number of installed

smart meters provided by several utilities is used to determine whether the number

of smart …

Factors Influencing Mode Choice For Intercity Travel From Northern New England To Major Northeastern Cities, Sean Patrick Neely

Graduate College Dissertations and Theses

Long-distance and intercity travel generally make up a small portion of the total number of trips taken by an individual, while representing a large portion of aggregate distance traveled on the transportation system. While some research exists on intercity travel behavior between large metropolitan centers, this thesis addresses a need for more research on travel behavior between non-metropolitan areas and large metropolitan centers. This research specifically considers travel from home locations in northern New England, going to Boston, New York City, Philadelphia, and Washington, DC. These trips are important for quality of life, multimodal planning, and rural economies. This research …

Evolving Spatially Aggregated Features For Regional Modeling And Its Application To Satellite Imagery, Sam Kriegman

Graduate College Dissertations and Theses

Satellite imagery and remote sensing provide explanatory variables at relatively high resolutions for modeling geospatial phenomena, yet regional summaries are often desirable for analysis and actionable insight. In this paper, we propose a novel method of inducing spatial aggregations as a component of the statistical learning process, yielding regional model features whose construction is driven by model prediction performance rather than prior assumptions. Our results demonstrate that Genetic Programming is particularly well suited to this type of feature construction because it can automatically synthesize appropriate aggregations, as well as better incorporate them into predictive models compared to other regression methods …