1,776,341 research outputs found
Street scene, selling from barrows in McAlpine Street, Glasgow, Scotland, early 20th century [picture] /
Part of collection: Rex Nan Kivell collection of negatives, ca. 1917-1919.; Title from the caption list.; Also available in an electronic version via the Internet at: http://nla.gov.au/nla.pic-vn3356050
Rex Novak's MM Saxophone Recital 2
Footprints by Wayne Shorter
The Eternal Triangle by Sonny Stitt
Marshmallow by Warne Marsh
A Blues by Rex Novak
The Peacocks by Jimmy Rowles
Lazy Bird by John ColtraneRelated performance for this degree -- Rex Novak's MM Saxophone Recital 1: http://hdl.handle.net/2346/67045Recital recordings are archival copies for educational purposes only. Members of the TTU community may request to listen/view them for educational purposes via the PDF link to the left
WW1 New Zealand solder nearby a rudder of German WW1 aeroplane [picture] /
Part of collection: Rex Nan Kivell collection of negatives, ca. 1917-1919.; Title from the caption list.; Condition: emulsion damaged and scratched.; Also available in an electronic version via the Internet at: http://nla.gov.au/nla.pic-vn3335547
Perth Gardens, with group of New Zealand soldiers at Supreme Court, Perth, Western Australia [picture] /
Part of collection: Rex Nan Kivell collection of negatives, ca. 1917-1919.; Title from the caption list.; Condition: emulsion damaged lower left.; Also available in an electronic version via the Internet at: http://nla.gov.au/nla.pic-vn3314170
A family with a New Zealand WW1 soldier [picture] /
Part of collection: Rex Nan Kivell collection of negatives, ca. 1917-1919.; Title from the caption list.; Condition: emulsion damaged lower left.; Also available in an electronic version via the Internet at: http://nla.gov.au/nla.pic-vn3380137
Girls Hockey team in English school grounds, early 20th century [picture] /
Part of collection: Rex Nan Kivell collection of negatives, ca. 1917-1919.; Title from the caption list.; Also available in an electronic version via the Internet at: http://nla.gov.au/nla.pic-vn3357829
The Baths, Perth, Western Australia [picture] /
Part of collection: Rex Nan Kivell collection of negatives, ca. 1917-1919.; Title from the caption list.; Condition: silvering and scratched.; Also available in an electronic version via the Internet at: http://nla.gov.au/nla.pic-vn3314125. Perth City Baths on the Esplanade were destroyed some time before 1925
L. R. Rex
"147050 L.A.C. Rex. L.R. 28 A.S.P. 79 Wing R.A.A.F. [signature] L.R. Rex"147050 L.A.C. Rex. L.R. 28 Air Support Party, 79 Wing Royal Australian Air Force. [signature] L.R. Rex
Understanding Risk Extrapolation (REx) and when it finds Invariant Relationships
Generalizing models for new unknown datasets is a common problem in machine learning. Algorithms that perform well for test instances with the same distribution as their training dataset often perform severely on new datasets with a different distribution. This problem is caused by distributional shifts between the training of the model and applying that model to a test domain. This paper addresses whether and in what situations Risk Extrapolation (REx) can tackle this problem of Out-Of-Distribution generalization by exploiting invariant relationships. These relationships are based on features that are invariant across all domains. By learning these relationships, REx aims to learn the concept of the problem we are trying to solve. We show in what situations REx can learn these invariant relationships and when it does not. We translate the definition of an invariant relationship into a homoscedastic synthetic dataset with either covariate, confounded, anti-causal, or hybrid shift. We expose REx to experiments in sample complexity, the number of training domains, and the training domain distance. We show that REx performs better for invariant prediction in situations with larger sample sizes and training domain distance and that if these criteria are met, REx performs equivalently in all four distributional shifts. We also compare REx to Invariant- and Empirical Risk Minimization and show that; REx is less sensitive and thus robust to the shifting of the average distributional variance in the training domains; REx asymptotically out-performs the methods in the more complex distributional shifts.https://gitlab.com/hofland.jeroen/rex-distributional-shift CodeCSE3000 Research ProjectComputer Science and Engineerin
Oral History Interview with Rex Barber
The National Museum of the Pacific War presents an oral interview with Rex T. Barber and other unknown participants. The interview contains a discussion among those present relating to various facets of the Yamamoto Mission. Barber remarks on the firepower of a P-38 and tells of firing on one Japanese Betty bomber, which crashed into the jungle, and of attacking another Betty which crashed into the sea
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