Browsing Faculty of Arts and Sciences by Keyword "Information Science"
Now showing items 1-3 of 3
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Gradient Descent for Optimization Problems With Sparse Solutions
(2016-05-18)Sparse modeling is central to many machine learning and signal processing algorithms, because finding a parsimonious model often implicitly removes noise and reveals structure in data. They appear in applications such as ... -
How the Scientific Community Reacts to Newly Submitted Preprints: Article Downloads, Twitter Mentions, and Citations
(Public Library of Science, 2012)We analyze the online response to the preprint publication of a cohort of 4,606 scientific articles submitted to the preprint database arXiv.org between October 2010 and May 2011. We study three forms of responses to these ... -
An Integrative Investigation of Convergent Bipedal Locomotion in Desert Rodents
(2016-05-18)Bipedalism is commonly assumed to be an adaptive convergence because it has evolved independently three times in small desert rodents. However, the functional benefits of bipedality in this ecosystem have long been unclear. ...