Author: Eric Yeh
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Efficient online learning and prediction of users’ desktop actions
We investigate prediction of users’ desktop activities in the Unix domain. We show that simple efficient many-class learning can perform well for action prediction, significantly improving over previously published results and baselines.
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Learning Alignments and Leveraging Natural Logic
We present a machine learning approach to alignment scoring, a stochastic search procedure, and a new tool that finds deeper semantic alignments, allowing rapid development of semantic features over the aligned graphs.
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Angler: Collaboratively Expanding your Cognitive Horizon
The tool helps the group through the process of forming consensus, while preserving and quantifying differing ways of thinking. Angler provides a Web-based collaborative environment that allows users distributed by both time and geography to assemble in teams, with the help of a facilitator.
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A Collaborative Framework for Managing Uncertainty and Cognitive Bias