1,722,128 research outputs found
Donald Skillicorn and Dennis Sain Interview, May 20, 2009
No full textDonald Skillicorn and Dennis Sain discuss their experiences logging in western Montana for the Anaconda Forest Products Company, the evolution of logging technology, and the logging areas around Montana. Skillicorn also describes his initial job with the Anaconda Company, serving in the army during World War Two, his family settlement near Seeley Lake, Montana, and the family sawmill and band.https://scholarworks.umt.edu/forestrylanduseconservation_interviews/1004/thumbnail.jp
Manx Skillicorn Interview, June 4, 2009
No full textManx Skillicorn describes growing up in Bonner, Montana, and attending the Woodworth School. He discusses working as a scaler for the Anaconda Copper Mining Company’s logging operation in Thompson Falls, Montana, and the Camp 9 areas of Montana. Manx talks about parties at Cozy Corner and attending school in Bonner and at the Woodworth School at Camp 9. Interview cut short due to interruption and never resumed.https://scholarworks.umt.edu/mtcommunities_oralhistory/1025/thumbnail.jp
Skillicorn, W H, NX43509
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/417214Surname: SKILLICORN. Given Name(s) or Initials: W H. Military Service Number or Last Known Location: NX43509. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 40360.239908
Item: [2016.0049.49475] "Skillicorn, W H, NX43509
Clusters within clusters: Svd and counterterrorism
No full textCopyright cfl2003 D.B. Skillicorn Abstract We argue that one important aspect of terrorism detection is the ability to detect small-scale, local correlations against a background of large-scale, diffuse correlations. Singular value decomposition (SVD) maps variation, and hence correlation, into proximity in low-dimensional spaces. We show, using artificial datasets whose plausibility we argue for, that SVD is effective at detecting local correlation in this setting. The figures in this paper can be understood in black and white but are designed to be seen in colour. Clusters Within Clusters: SVD and Counterterroris
A singular, admissible extension which splits algebraically, but not strongly, of the algebra of bounded operators on a Banach space
No full textLet E be the Banach space constructed by Read [10] such that the Banach algebra B(E) of bounded operators on E admits a discontinuous derivation. We show that B(E) has a singular, admissible extension which splits algebraically, but does not split strongly. This answers a natural question going back to the work of Bade, Dales, and Lykova [1], and complements recent results of Laustsen and Skillicorn [6]
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Extracting Latent Factors from Survey Data
No full textCopyright c○2006 D.. Skillicorn and A. Larsen Surveys requiring Likert scale responses have a number of deficiencies, for example they require a good understanding of possible factors in designing questions, and acceptable answers are often easy to infer. Vignette questions avoid these deficiencies, but can require more sophisticated analysis of responses in order to discover latent or hidden factors which might characterize the space of interest. We describe the use of singular value decomposition as an analysis tool and illustrate the process with a case study of internet use survey data
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