%PDF-1.3
%
119 0 obj
<>/OCGs[122 0 R]>>/OutputIntents[116 0 R]/PageLabels 114 0 R/Pages 16 0 R/Type/Catalog>>
endobj
121 0 obj
<>/Font<>>>/Fields 126 0 R>>
endobj
118 0 obj
<>stream
2016-01-23T19:19:17-08:00
TeX
2016-01-31T20:18:27-08:00
2016-01-31T20:18:27-08:00
This is pdfTeX, Version 3.14159265-2.6-1.40.16 (TeX Live 2015) kpathsea version 6.2.1
PDF/X-1a:2001
PDF/X-1:2001
Acrobat Distiller 15.0 (Macintosh)
False
Technical Papers: Machine Learning Methods
PDF/X-1a:2001
PDF/X-1:2001
application/pdf
Shangpu Jiang, Daniel Lowd, Dejing Dou
A Probabilistic Approach to Knowledge Translation
Copyright(C) 2016, Association for the Advancement of Artificial Intelligence
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16)
Technical Papers: Machine Learning Methods
True
http://www.aaai.org
uuid:dabf0b3b-4cab-0f4f-9b9d-27f6b91f8478
uuid:65bf35df-ca24-f54b-b822-a71e643fddae
1
PDF/X-1:2001
endstream
endobj
114 0 obj
<>
endobj
16 0 obj
<>
endobj
2 0 obj
<>/Font<>/ProcSet[/PDF/Text]/XObject<>>>/TrimBox[0 0 612 792]/Type/Page>>
endobj
17 0 obj
<>/Font<>/ProcSet[/PDF/Text]/XObject<>>>/TrimBox[0 0 612 792]/Type/Page>>
endobj
20 0 obj
<>/Font<>/ProcSet[/PDF/Text]/XObject<>>>/TrimBox[0 0 612 792]/Type/Page>>
endobj
27 0 obj
<>/Font<>/ProcSet[/PDF/Text]/XObject<>>>/TrimBox[0 0 612 792]/Type/Page>>
endobj
33 0 obj
<>/Font<>/ProcSet[/PDF/Text]/XObject<>>>/TrimBox[0 0 612 792]/Type/Page>>
endobj
37 0 obj
<>/Font<>/ProcSet[/PDF/Text]/XObject<>>>/TrimBox[0 0 612 792]/Type/Page>>
endobj
41 0 obj
<>/Font<>/ProcSet[/PDF/Text]/XObject<>>>/TrimBox[0 0 612 792]/Type/Page>>
endobj
145 0 obj
<>stream
HWr}W)5LX`pwdIk+6:#pq$*qg0ӧϼݣ^0_WW':5*ՙl7U[&Pown]5uW.Ǎtvm,LUmŲmm3kv}5c5
<:-dTuŊ&,\ݖO'xj5Z
/LoZֽekl4Ε5m]דCZnKeKc:/cMbl)1ӼCWڴe3M/
HM/co8)+3eWb٭5C[_