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Web application users spend considerable time clicking on hyperlinks and buttons to complete frequent tasks. Individual application developers can optimize their interfaces to improve typical usage; however, no single task ...

This thesis focuses on developing decoding techniques for complex Natural Language Processing (NLP) tasks. The goal of decoding is to find an optimal or near optimal solution given a model that defines the goodness of a ...

This thesis describes a sequence-data processing toolkit for analysis of Intelligent Tutoring System (ITS) log data, that unlike other tools allows directed exploration of sequence patterns. This system provides a powerful ...

The goal of the project is to explore how activity-based interfaces can create more meaningful experiences for the users and builders of online social networking sites. Medina, a social-networking site based on the idea ...

This thesis presents the findings of exploratory research in low-cost compliant robotics. The most heavily leveraged trade-off is that of mechanical precision for computational power, with the hope that the price of future ...

This thesis reviews the recent advances made in optical studies of single-wall carbon nanotubes. Studying the electronic and vibrational properties of carbon nanotubes, we find that carbon nanotubes less than 1 nm in ...

Design and characterization of artificial transcriptional terminators. Ten new terminators were designed based on previous research of terminator structure and termination efficiency. The terminators were built by PCR ...

This research investigates the distortion on the electrical distribution system for a high voltage DC Integrated Power System (IPS). The analysis was concentrated on the power supplied to a propulsion motor driven by an ...

This thesis explores the approximation properties of a unique basis expansion. The expansion implements a nonlinear frequency warping between a continuous-time signal and its discrete-time representation according to the ...

We introduce a novel unsupervised algorithm for text segmentation. We re-conceptualize text segmentation as a graph-partitioning task aiming to optimize the normalized-cut criterion. Central to this framework is a contrastive ...