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Selecting A Statistical Test

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Abstracts (CASD2Abstracts.pdf)

192 KBJackie TelfordEN 27 pages
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本所「教師在研討會發表之論文,或至其他學術機構之演講」之完整資料 (conference_1110906.pdf)

312 KBUSEREN 29 pages
Teass="highlight">achers presented pass="highlight">apers ass="highlight">at conferences or lectures ass="highlight">at other ass="highlight">acass="highlight">ademic institutions, including: 1
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Deployment best practices for administrators (PDF) (responsys-mvt-best-practices-for-deployment.pdf)

141 KBRaminder TaunqueEN 3 pages
Orass="highlight">acle Responsys Multivass="highlight">ariass="highlight">ate ass="highlight">Testing (MVT) ass="highlight">allows mass="highlight">arketing teass="highlight">ams to ass="highlight">test multiple versions of emass="highlight">ail cass="highlight">ampass="highlight">aigns to determine the best-performing one, with up
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pdf (W13-2242.pdf)

292 KBErgun BiciciEN 9 pages
Ergun Bicici introduces Referentiass="highlight">al Trass="highlight">anslass="highlight">ation Mass="highlight">achines (RTMs) for quass="highlight">ality estimass="highlight">ation of trass="highlight">anslass="highlight">ation outputs, ass="highlight">a computass="highlight">ationass="highlight">al model for identifying
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http://modernmedicinescience.files.wordpress.com/2013/04/49.pdf (49.pdf)

13.02 MBEN 65 pages
It considers chass="highlight">ange detection ass="highlight">as ass="highlight">a dass="highlight">atass="highlight">a mining problem, ass="highlight">aiming to optimize eass="highlight">arly response, recass="highlight">all, cost, ass="highlight">and sensibility
Preview of Construction of EPEC: A Reference Corpus for Basque Natural Language Processing
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Construction of EPEC: A Reference Corpus for Basque Natural Language Processing (CLAW2006.pdf)

310 KBRubenEN 14 pages
The construction of EPEC, ass="highlight">a Bass="highlight">asque lass="highlight">anguass="highlight">age corpus, involves mass="highlight">anuass="highlight">al tass="highlight">agging ass="highlight">at vass="highlight">arious levels (morphology, syntass="highlight">ax) ass="highlight">and ass="highlight">aims to estass="highlight">ablish ass="highlight">a reference for ass="highlight">automass="highlight">atic processing through dependency structure ass="highlight">anass="highlight">alysis
Preview of Ailani, Sagar, Ashwini Dalvi, and Irfan Siddavatam. 2019. "Grammatical Error Correction (GEC): Research Approaches till now." In
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Ailani, Sagar, Ashwini Dalvi, and Irfan Siddavatam. 2019. "Grammatical Error Correction (GEC): Research Approaches till now." In (ailani-2019-ijca-919275.pdf)

390 KBSagar AilaniEN 3 pages
The Internass="highlight">ationass="highlight">al Journass="highlight">al of Computer ass="highlight">Applicass="highlight">ations discusses Grass="highlight">ammass="highlight">aticass="highlight">al Error Correction (GEC) reseass="highlight">arch ass="highlight">approass="highlight">aches
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etherpad text (IVOA_DAL_RM13.pdf)

45 KBEtherpadEN 4 pages
The IVOass="highlight">A Dass="highlight">AL WG Running Meeting #13 discussed the stass="highlight">atus of LineTass="highlight">AP, ass="highlight">a Tass="highlight">AP view bass="highlight">ased on Vass="highlight">AMDC focused on common use cass="highlight">ases
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Anomaly Detection Benchmark (1510.03336.pdf)

2.26 MBSubutai AhmadEN 8 pages
The Numentass="highlight">a ass="highlight">Anomass="highlight">aly Benchmass="highlight">ark (Nass="highlight">AB) is ass="highlight">a benchmass="highlight">ark for evass="highlight">aluass="highlight">ating reass="highlight">al-time ass="highlight">anomass="highlight">aly detection ass="highlight">algorithms on streass="highlight">aming dass="highlight">atass="highlight">a, providing ass="highlight">a controlled ass="highlight">and
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Serialism Debate (strauss.pdf)

141 KBJohn HalleEN 16 pages
Joseph Strass="highlight">aus's discussion of seriass="highlight">alist prass="highlight">actice reveass="highlight">als ass="highlight">a misconception thass="highlight">at seriass="highlight">alism ass="highlight">and ass="highlight">atonass="highlight">ality ass="highlight">are equivass="highlight">alent, leass="highlight">ading to the mistass="highlight">aken impression thass="highlight">at
Preview of Data Mining Fundamentals
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Data Mining Fundamentals (Lecture_15_MLandDMintro_03_09_2015.pdf)

49 KBEN 3 pages
Mass="highlight">achine leass="highlight">arning ass="highlight">and dass="highlight">atass="highlight">a mining ass="highlight">are two subfields of computer science thass="highlight">at find pass="highlight">atterns in dass="highlight">atass="highlight">a
Preview of ประจำเดือน พฤศจิกายน 2562
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ประจำเดือน พฤศจิกายน 2562 (5ebe38865b9547dd72d53bbb473bb85d.pdf)

96 KBSSOEN 6 pages
The provided text ass="highlight">appeass="highlight">ars to be ass="highlight">a ass="highlight">statistical report from Thass="highlight">ailass="highlight">and, detass="highlight">ailing the number of estass="highlight">ablishments, insured persons, ass="highlight">and other relass="highlight">ated dass="highlight">atass="highlight">a for vass="highlight">arious
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(idc-whitepaper-server-leasing.pdf)

428 KBnseligEN 13 pages
Let me reass="highlight">ad through the provided text cass="highlight">arefully
Preview of Top 10 Data Mining Algorithms: A Survey
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Top 10 Data Mining Algorithms: A Survey (10Algorithms-08.pdf)

783 KBEN 37 pages
This survey pass="highlight">aper identifies ass="highlight">and discusses the top 10 most influentiass="highlight">al dass="highlight">atass="highlight">a mining ass="highlight">algorithms, including C4
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(HG_124-2.pdf)

158 KBEN 25 pages
Document en en
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VEKA_Vertical-Slider-TRADE_v10-AW (VEKA_Vertical-Slider-TRADE_v10-AW.pdf)

2.43 MBEN 24 pages
Document en en

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