39 research outputs found

    VIDEO: Friday Session 4: Mid-Day Keynote Speaker William deBuys through Closing Keynote Speaker William Kittredge

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    VIDEO: SESSION 4: 1:00 p.m. - 1:05 p.m. Reading by Charles Wilkinson: Terry Tempest Williams, Testimony 1:05 p.m. - 1:35 p.m. Mid-Afternoon Keynote: William deBuys 1:35 p.m. - 1:40 p.m. Reading by Charles Wilkinson: Wallace Stegner, The Sound of Western Water 1:40 p.m. - 2:20 p.m. Panel: The Future of Wilderness Activism Moderator: Britt Banks Panelists: Michael Casaus, Julia Guarino, Soren Jespersen 2:20 p.m. - 2:25 p.m. Reading by Charles Wilkinson: Edward Abbey, Desert Solitaire 2:25 p.m. - 2:40 p.m. Speaker: Paul Sutter 2:40 p.m. - 2:45 p.m. Poem: Justice Gregory J. Hobbs, Jr. 2:45 p.m. - 3:00 p.m. Speaker: Karin Sheldon 3:00 p.m. - 3:05 p.m. Reading by Charles Wilkinson: Billy Frank Jr., Messages from Frank\u27s Landing 3:05 p.m. - 3:35 p.m. Closing Keynote: William Kittredg

    VIDEO: Friday Session 4: Mid-Day Keynote Speaker William deBuys through Closing Keynote Speaker William Kittredge

    No full text
    VIDEO: SESSION 4: 1:00 p.m. - 1:05 p.m. Reading by Charles Wilkinson: Terry Tempest Williams, Testimony 1:05 p.m. - 1:35 p.m. Mid-Afternoon Keynote: William deBuys 1:35 p.m. - 1:40 p.m. Reading by Charles Wilkinson: Wallace Stegner, The Sound of Western Water 1:40 p.m. - 2:20 p.m. Panel: The Future of Wilderness Activism Moderator: Britt Banks Panelists: Michael Casaus, Julia Guarino, Soren Jespersen 2:20 p.m. - 2:25 p.m. Reading by Charles Wilkinson: Edward Abbey, Desert Solitaire 2:25 p.m. - 2:40 p.m. Speaker: Paul Sutter 2:40 p.m. - 2:45 p.m. Poem: Justice Gregory J. Hobbs, Jr. 2:45 p.m. - 3:00 p.m. Speaker: Karin Sheldon 3:00 p.m. - 3:05 p.m. Reading by Charles Wilkinson: Billy Frank Jr., Messages from Frank\u27s Landing 3:05 p.m. - 3:35 p.m. Closing Keynote: William Kittredg

    A Process for Predicting Manhole Events in Manhattan

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    We present a knowledge discovery and data mining process developed as part of the Columbia/Con Edison project on manhole event prediction. This process can assist with real-world prioritization problems that involve raw data in the form of noisy documents requiring significant amounts of pre-processing. The documents are linked to a set of instances to be ranked according to prediction criteria. In the case of manhole event prediction, which is a new application for machine learning, the goal is to rank the electrical grid structures in Manhattan (manholes and service boxes) according to their vulnerability to serious manhole events such as fires, explosions and smoking manholes. Our ranking results are currently being used to help prioritize repair work on the Manhattan electrical grid
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