5,250 research outputs found

    T.J. Stiles: “The Commodore’s Patriotism: Cornelius Vanderbilt’s Path to the Founding of Vanderbilt University”

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    Includes descriptive metadata provided by producer in MP4 file: "Chancellor's Lecture Series - Videos - T.J. Stiles: 'The Commodore’s Patriotism: Cornelius Vanderbilt’s Path to the Founding of Vanderbilt University'." By Vanderbilt University. T.J. Stiles, Pulitzer Prize-winning author and historian, speaks Sept. 29, 2010 as part of the Chancellor's Lecture Series. Stiles wrote the 2009 biography The First Tycoon: The Epic Life of Cornelius Vanderbilt. Chancellor Nicholas Zeppos introduces Stiles. Stiles takes questions after his lecture

    Cwbr Author Interview: Custer\u27s Trials: A Life On The Frontier Of A New America

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    Interview with T.J. Stiles, author of Custer\u27s Trials: A Life on the Frontier of a New America Interviewed by Tom Barber Civil War Book Review (CWBR): The Civil War Book Review is pleased to speak with T.J. Stiles, winner of multiple awards for biography and author of Jesse James: Last Rebel of the Civil War and The First Tycoon: The Epic Life of Cornelius Vanderbilt. Today we get to discuss his most recent work Custer\u27s Trials: A Life on the Frontier of a New America. Mr. Stiles, thank you for joining us today. T.J. Stiles: Thanks very much for interviewing me...

    DS_10.1177_0022034519869906 – Supplemental material for Metabolic Profile of Supragingival Plaque Exposed to Arginine and Fluoride

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    Supplemental material, DS_10.1177_0022034519869906 for Metabolic Profile of Supragingival Plaque Exposed to Arginine and Fluoride by M.M. Nascimento, A.J. Alvarez, X. Huang, C. Browngardt, R. Jenkins, M.C. Sinhoreti, A.P.D. Ribeiro, D.A. Dilbone, V.P. Richards, T.J. Garrett and R.A. Burne in Journal of Dental Research</p

    Corrected proof of the result of ‘A prediction error property of the Lasso estimator and its generalization’ by Huang (2003)

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    The Lasso achieves variance reduction and variable selection by solving an ℓ 1 -regularized least squares problem. Huang (2003) claims that ‘there always exists an interval of regularization parameter values such that the corresponding mean squared prediction error for the Lasso estimator is smaller than for the ordinary least square estimator’. This result is correct. However, its proof in Huang (2003) is not. This paper presents a corrected proof of the claim, which exposes and uses some interesting fundamental properties of the Lasso.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72873/1/j.1467-842X.2004.00347.x.pd
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