Silicon Primitives for Machine Learning
doctoral thesis by David Hsu, Computer Science & Engineering, University of Washington, 2003
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Silicon Primitives for Machine Learning
Summary
Silicon Primitives for Machine Learning is a doctoral thesis[1].
Key Facts
- Silicon Primitives for Machine Learning authored David Hsu[2].
- Silicon Primitives for Machine Learning's instance of is recorded as doctoral thesis[3].
- Silicon Primitives for Machine Learning's OCLC number is recorded as 55508372[4].
- Silicon Primitives for Machine Learning's language of work or name is recorded as English[5].
- +2003-00-00T00:00:00Z marks the founding of Silicon Primitives for Machine Learning[6].
- Silicon Primitives for Machine Learning's work available at URL is recorded as http://hdl.handle.net/1773/6909[7].
- Silicon Primitives for Machine Learning's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q1069725', 'amount': '+144'}[8].
- Silicon Primitives for Machine Learning's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q56761382', 'amount': '+13'}[9].
- Silicon Primitives for Machine Learning's Handle ID is recorded as 1773/6909[10].
- Silicon Primitives for Machine Learning's title is recorded as Silicon Primitives for Machine Learning[11].
- Silicon Primitives for Machine Learning's thesis submitted to is recorded as University of Washington[12].
- Silicon Primitives for Machine Learning's on focus list of Wikimedia project is recorded as WikiProject PCC Wikidata Pilot/University of Washington[13].
Body
Designation and Status
Silicon Primitives for Machine Learning's instance of is recorded as doctoral thesis[3].
History and Context
+2003-00-00T00:00:00Z marks the founding of Silicon Primitives for Machine Learning[6].