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Name
Calhoun, Institutional Archive of the Naval Postgraduate School
Type
Publication Repository
Items
52783 Publications
Compatibility
OpenAIRE Basic (DRIVER OA)
OAI-PMH
https://calhoun.nps.edu/oai/request
More information
Detailed data provider information (OpenDOAR)

 

  • How should SOF be organized

    Goh, Puay Hock (Francis). (2011)
    Approved for public release; distribution is unlimited. Special Operations Forces (SOF) today provide policy makers with Economy of Force and Expansion of Choice options. Unfortunately, not all countries are well positioned to capitalize on SOF as a strategic asset. Not all SOF organizations are appropriately structured at the national-level for the SOF system to be a whole that is greater than the sum of its parts. Organizational structure does matter. Against this backdrop, this the...

    A study and analysis of the development and unit operation of naval petroleum reserve no. 1.

    Adams, Will M. (1954)
    http://www.archive.org/details/studyanalysisofd00adam U.S. Navy (U.S.N.) author.

    Defense Expenditures and Budgetary Patterns in Selected Middle Eastern and Mediterranean Countries: An Assessment

    Looney, Robert E.; Frederiksen, Peter C. (1996)
    Public Budgeting and Financial Management, Spring 1996. Refereed Journal Article This paper examines the relationship between defense spending and budgetary allocations to various programs for twelve Middle Eastern and North African/Mediterranean countries in an attempt to see if spending patterns vary systematically with changes (both anticipated and unanticipated) in the budget deficit or defense expenditures. Detailed results are presented for Syria and Oman although g...

    Applications and benefits for big data sets using tree distances and the t-SNE algorithm

    Lee, Suyoung (2016)
    Approved for public release; distribution is unlimited Modern data sets often consist of unstructured data and mixed data; that is, they include both numerical and categorical variables. Often, these data sets will include noise, redundancy, missing values and outliers. Clustering is one of the most important and widely-used data analytic methods. However, clustering requires the ability to measure distances or dissimilarities, which are not defined in an obvious way for mixed data. Practi...
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