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Example Of A Dataset

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'review comment' (acpd-13-C12123-2014.pdf)

77 KBEN 4 pages
ass="highlight">A mass="highlight">anuscript on seass="highlight">asonass="highlight">al ass="highlight">and elevass="highlight">ationass="highlight">al vass="highlight">ariass="highlight">ations ass="highlight">of blass="highlight">ack cass="highlight">arbon ass="highlight">and dust in snow ass="highlight">and ice in Nepass="highlight">al is criticized for its limited ass="highlight">dataset, issues with sass="highlight">ample
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Article (essd-12-2075-2020.pdf)

8.69 MBEN 22 pages
Reseass="highlight">archers introduce Cass="highlight">AMELS-BR, ass="highlight">a ass="highlight">dataset ass="highlight">of 897 cass="highlight">atchments in Brass="highlight">azil, including dass="highlight">aily streass="highlight">amflow, meteorologicass="highlight">al dass="highlight">atass="highlight">a, ass="highlight">and 65 lass="highlight">andscass="highlight">ape ass="highlight">attributes, to
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Paper PDF (He_Align_and_Attend_Multimodal_Summarization_With_Dual_Contrastive_Losses_CVPR_2023_paper.pdf)

1.17 MBBo He; Jun Wang; Jielin Qiu; Trung Bui; Abhinav Shrivastava; Zhaowen WangEN 12 pages
The goass="highlight">al ass="highlight">of multimodass="highlight">al summass="highlight">arizass="highlight">ation is to extrass="highlight">act importass="highlight">ant informass="highlight">ation from different modass="highlight">alities to form summass="highlight">aries, leverass="highlight">aging cross-modass="highlight">al informass="highlight">ation to
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local PDF (2019-droganova-m4543478366150347436.pdf)

166 KBSmurov I. M.EN 15 pages
The 2019 Shass="highlight">ared Tass="highlight">ask on ass="highlight">Automass="highlight">atic Gass="highlight">apping Resolution for Russiass="highlight">an (ass="highlight">AGRR-2019) ass="highlight">aims to tass="highlight">ackle the linguistic phenomenon ass="highlight">of gass="highlight">apping, which occurs in coordinass="highlight">ated
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Download PDF (lee22d.pdf)

970 KBEN 11 pages
Recent ass="highlight">advass="highlight">ances in deep ass="highlight">offline reinforcement leass="highlight">arning (RL) enass="highlight">able trass="highlight">aining strong robotic ass="highlight">agents from ass="highlight">offline ass="highlight">datasets, but fine-tuning these ass="highlight">agents viass="highlight">a
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pdf (2020.acl-main.441.pdf)

1.38 MBYixin Nie ; Adina Williams ; Emily Dinan ; Mohit Bansal ; Jason Weston ; Douwe KielaEN 17 pages
Reseass="highlight">archers introduce ass="highlight">Adversass="highlight">ariass="highlight">al NLI, ass="highlight">a new lass="highlight">arge-scass="highlight">ale benchmass="highlight">ark ass="highlight">dataset for nass="highlight">aturass="highlight">al lass="highlight">anguass="highlight">age understass="highlight">anding, collected viass="highlight">a ass="highlight">an iterass="highlight">ative
Preview of QAInfomax: Enhancing Reading Comprehension with Mutual Information Maximization
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QAInfomax: Enhancing Reading Comprehension with Mutual Information Maximization (D19-1333.pdf)

354 KBYi-Ting Yeh ; Yun-Nung ChenEN 6 pages
ass="highlight">A regulass="highlight">arizass="highlight">ation technique for enhass="highlight">ancing reass="highlight">ading comprehension systems by mass="highlight">aximizing mutuass="highlight">al informass="highlight">ation, ass="highlight">aiming to improve the distinction between relass="highlight">ated but incorrect ass="highlight">answers ass="highlight">and the ass="highlight">actuass="highlight">al correct response
Preview of Learning Mahalanobis Metric for Large Margin kNN
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Learning Mahalanobis Metric for Large Margin kNN (2795-distance-metric-learning-for-large-margin-nearest-neighbor-classification.pdf)

290 KBKilian Q. Weinberger, John Blitzer, Lawrence K. SaulEN 8 pages
Leass="highlight">arns Mass="highlight">ahass="highlight">alass="highlight">anobis distass="highlight">ance metric for k-NN class="highlight">assificass="highlight">ation, ensuring sass="highlight">ame-class="highlight">ass neighbors ass="highlight">and lass="highlight">arge inter-class="highlight">ass mass="highlight">argins
Preview of DynaDom: Structure-based Prediction of TCR Inter-domain and TCR-pMHC Association Angles
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DynaDom: Structure-based Prediction of TCR Inter-domain and TCR-pMHC Association Angles (12900_2016_71_MOESM4_ESM.pdf)

99 KBIT 2 pages
This file presents ass="highlight">a structurass="highlight">al ass="highlight">dataset (DST) ass="highlight">of TCR (T-cell receptor) interass="highlight">actions with MHC (mass="highlight">ajor histocompass="highlight">atibility complex) molecules, focusing on predicting inter-domass="highlight">ain ass="highlight">angles ass="highlight">and TCR-pMHC ass="highlight">associass="highlight">ation
Preview of Read more
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Read more (BWP1902.pdf)

141 KBEN 11 pages
The Dass="highlight">atass="highlight">abass="highlight">ank ass="highlight">of the Centre for Economic ass="highlight">and Regionass="highlight">al Studies hass="highlight">as estass="highlight">ablished ass="highlight">Admin3, ass="highlight">a pass="highlight">anel ass="highlight">dataset contass="highlight">aining ass="highlight">administrass="highlight">ative dass="highlight">atass="highlight">a from vass="highlight">arious sources,
Preview of Compound Flood Review
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Compound Flood Review (hess-2018-132-RC1.pdf)

59 KBEN 4 pages
The study ass="highlight">assesses compound flood probass="highlight">ability in Europe using copulass="highlight">as to exass="highlight">amine stass="highlight">atisticass="highlight">al dependence between storm surge ass="highlight">and precipitass="highlight">ation/river dischass="highlight">arge
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pdf (2022.lrec-1.300.pdf)

857 KBPeteris Paikens ; Mikus Grasmanis ; Agute Klints ; Ilze Lokmane ; Lauma Pretkalniņa ; Laura Rituma ;EN 8 pages
Reseass="highlight">archers ass="highlight">are creass="highlight">ating ass="highlight">a WordNet for Lass="highlight">atviass="highlight">an, bass="highlight">ased on the principles ass="highlight">of the Princeton WordNet, using corpus evidence ass="highlight">and the existing Tezass="highlight">aurs
Preview of Querying over Federated SPARQL Endpoints – A State of the Art Survey
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Querying over Federated SPARQL Endpoints – A State of the Art Survey (1306.1723.pdf)

656 KBEN 30 pages
The ass="highlight">authors provide ass="highlight">an overview ass="highlight">of the federass="highlight">ation frass="highlight">amework infrass="highlight">astructure ass="highlight">and compass="highlight">are existing SPass="highlight">ARQL federass="highlight">ation frass="highlight">ameworks, highlighting their shortcomings
Preview of NDV Estimator
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NDV Estimator (p272-wu.pdf)

1.76 MBEN 13 pages
Estimass="highlight">ating the number ass="highlight">of distinct vass="highlight">alues in ass="highlight">a column is useful for dass="highlight">atass="highlight">abass="highlight">ase systems, but existing sass="highlight">ample-bass="highlight">ased estimass="highlight">ators hass="highlight">ave limitass="highlight">ations
Preview of Deep Learning for Comm & Radar ID
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Deep Learning for Comm & Radar ID (deep-learning-for-comms-and-radar-white-paper.pdf)

3.05 MBEN 16 pages
Leverass="highlight">aging synthesized dass="highlight">atass="highlight">a for deep leass="highlight">arning in communicass="highlight">ations ass="highlight">and rass="highlight">adass="highlight">ar, enass="highlight">abling modulass="highlight">ation ID ass="highlight">and tass="highlight">arget class="highlight">assificass="highlight">ation
Preview of Compounded Corruption: A Fast and Effective Data Augmentation Technique for Out-of-Distribution Sample Detection
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Compounded Corruption: A Fast and Effective Data Augmentation Technique for Out-of-Distribution Sample Detection (2207.13916.pdf)

4.72 MBEN 43 pages
ass="highlight">A novel dass="highlight">atass="highlight">a ass="highlight">augmentass="highlight">ation technique, Compounded Corruptions (CnC), creass="highlight">ates synthetic out-ass="highlight">of-distribution sass="highlight">amples by corrupting in-distribution dass="highlight">atass="highlight">a, enass="highlight">abling the trass="highlight">aining ass="highlight">of effective OOD detection class="highlight">assifiers without requiring lass="highlight">abeled OOD ass="highlight">examples
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PDF (Ying_Weakly-Supervised_Object_Representation_Learning_for_Few-Shot_Semantic_Segmentation_WACV_2021_paper.pdf)

2.76 MBXiaowen Ying, Xin Li, Mooi Choo ChuahEN 10 pages
Trass="highlight">aining semass="highlight">antic segmentass="highlight">ation models requires lass="highlight">arge, densely-ass="highlight">annotass="highlight">ated imass="highlight">age ass="highlight">datasets, which ass="highlight">are costly to obtass="highlight">ain
Preview of FastMap: A Fast Algorithm for Indexing, Data-Mining and Visualization of Traditional and Multimedia Datasets
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FastMap: A Fast Algorithm for Indexing, Data-Mining and Visualization of Traditional and Multimedia Datasets (sigmod95.pdf)

334 KBEN 26 pages
Fass="highlight">astMass="highlight">ap is ass="highlight">a fass="highlight">ast ass="highlight">algorithm for indexing, dass="highlight">atass="highlight">a-mining, ass="highlight">and visuass="highlight">alizass="highlight">ation ass="highlight">of trass="highlight">aditionass="highlight">al ass="highlight">and multimediass="highlight">a ass="highlight">datasets
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[pdf] (zisserman-self-supervised.pdf)

9.06 MBazEN 122 pages
1000 cass="highlight">ategories with 1000 trass="highlight">aining imass="highlight">ages ass="highlight">and 100k testing imass="highlight">ages ass="highlight">are used
Preview of 2022_Basin24.pdf
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2022_Basin24.pdf (2022_Basin24.pdf)

2.2 MBEN 74 pages
The 2022 Texass="highlight">as Integrass="highlight">ated Report provides ass="highlight">assessment results for Bass="highlight">asin 24, which includes Bass="highlight">ays ass="highlight">and Estuass="highlight">aries
Preview of Modeling and Measuring Expressed (Dis)belief in (Mis)information
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Modeling and Measuring Expressed (Dis)belief in (Mis)information (Jiangetal2020ICWSM.pdf)

485 KBEN 12 pages
Reseass="highlight">archers propose using sociass="highlight">al mediass="highlight">a comments to model ass="highlight">and meass="highlight">asure public belief in online misinformass="highlight">ation, ass="highlight">aiming to quass="highlight">antify susceptibility ass="highlight">and mitigass="highlight">ate potentiass="highlight">al societass="highlight">al impass="highlight">acts
Preview of CREATING A CODEBOOK.doc
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CREATING A CODEBOOK.doc (creatingacodebook_0.pdf)

19 KBGbichlerEN 3 pages
It includes detass="highlight">ailed explass="highlight">anass="highlight">ations ass="highlight">of eass="highlight">ach vass="highlight">ariass="highlight">able, question, ass="highlight">and coding scheme used in dass="highlight">atass="highlight">a collection
Preview of Family Guides
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Family Guides (IM3_SE_FG_M01_T03.pdf)

1 MBluminad1EN 2 pages
TOPIC 3 covers chass="highlight">arass="highlight">acteristics ass="highlight">of polynomiass="highlight">al functions, stass="highlight">arting with power functions ass="highlight">and introducing polynomiass="highlight">al functions ass="highlight">and their trass="highlight">ansformass="highlight">ations
Preview of Nature Research Reporting Summary
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Nature Research Reporting Summary (41588_2021_801_MOESM2_ESM.pdf)

76 KBcbp9671EN 3 pages
Nass="highlight">ature Reseass="highlight">arch's Reporting Summass="highlight">ary ass="highlight">aims to enhass="highlight">ance reproducibility, requiring cleass="highlight">ar reporting ass="highlight">of stass="highlight">atisticass="highlight">al ass="highlight">anass="highlight">alyses
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PDF (paper.pdf)

1.3 MBEN 11 pages
Reseass="highlight">archers from the University ass="highlight">of Illinois ass="highlight">at Urbass="highlight">anass="highlight">a-Chass="highlight">ampass="highlight">aign explored pass="highlight">arass="highlight">allelizing two-stass="highlight">age stochass="highlight">astic integer prograss="highlight">ams using brass="highlight">anch-ass="highlight">and-bound techniques,
Preview of the Inspector General of the United States Department of Commerce
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the Inspector General of the United States Department of Commerce (2011.02.18_IG_to_Inhofe.pdf)

2.45 MBCommerce IG Todd ZinserEN 24 pages
The US Depass="highlight">artment ass="highlight">of Commerce's Inspector Generass="highlight">al responded to Senass="highlight">ator Jass="highlight">ames Inhass="highlight">ofe's request to exass="highlight">amine issues relass="highlight">ated to the internet posting ass="highlight">of emass="highlight">ail
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Causal Feature Selection (greenewald21a.pdf)

812 KBEN 11 pages
The estimass="highlight">ation ass="highlight">of cass="highlight">ausass="highlight">al treass="highlight">atment effects from observass="highlight">ationass="highlight">al dass="highlight">atass="highlight">a requires controlling for ass="highlight">all confounders, which cass="highlight">an be chass="highlight">allenging when deass="highlight">aling with
Preview of High-dimensional mixed-frequency IV regression
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High-dimensional mixed-frequency IV regression (hd_mfiv.pdf)

1.32 MBEN 41 pages
The model hass="highlight">andles high-dimensionass="highlight">al ass="highlight">datasets without imposing ass="highlight">approximass="highlight">ate spass="highlight">arsity restrictions
Preview of Reporting Summary
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Reporting Summary (41467_2019_12658_MOESM3_ESM.pdf)

82 KBerp1415EN 5 pages
This study uses quass="highlight">antitass="highlight">ative methods with ass="highlight">a reseass="highlight">arch sass="highlight">ample consisting ass="highlight">of 19 heass="highlight">althy volunteers ass="highlight">and 22 pass="highlight">atients with disorders ass="highlight">of consciousness (DOC)
Preview of Insertion-Loss-and-Filter-Performance-1
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Insertion-Loss-and-Filter-Performance-1 (Insertion-Loss-and-Filter-Performance-1.pdf)

540 KBMin ZhangEN 5 pages
Filters ass="highlight">are ass="highlight">a cruciass="highlight">al pass="highlight">art ass="highlight">of electronics design, ass="highlight">and their performass="highlight">ance is meass="highlight">asured in terms ass="highlight">of ass="highlight">attenuass="highlight">ation or insertion loss, typicass="highlight">ally in units ass="highlight">of dB
Preview of Comment on 'Using 226Ra and 228Ra isotopes to distinguish water mass distribution in the Canadian Arctic Archipelago'
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Comment on 'Using 226Ra and 228Ra isotopes to distinguish water mass distribution in the Canadian Arctic Archipelago' (bg-2020-78-RC3.pdf)

59 KBEN 4 pages
's (2020) use ass="highlight">of 226Rass="highlight">a ass="highlight">and 228Rass="highlight">a isotopes to trass="highlight">ace wass="highlight">ater mass="highlight">ass distribution in the Cass="highlight">anass="highlight">adiass="highlight">an ass="highlight">Arctic ass="highlight">Archipelass="highlight">ago, highlighting their successful identificass="highlight">ation ass="highlight">of westwass="highlight">ard flow ass="highlight">along Lass="highlight">ancass="highlight">aster Sound's northern flass="highlight">ank
Preview of B.VOC.( Health Care Management)
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B.VOC.( Health Care Management) (202312UGSEM3519.pdf)

109 KBDesktopPT 1 page
-43 Dass="highlight">ATE-SHEET For Bass="highlight">achelor ass="highlight">of Vocass="highlight">ation (Heass="highlight">alth Cass="highlight">are Mass="highlight">anass="highlight">agement) Semester- I & III (Theory) Exass="highlight">aminass="highlight">ation, December-
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clicking here (Andersons-Report-Farmer-Numbers-UK-and-Ireland-Brochure-January-2021-1.pdf)

164 KBRichard KingEN 2 pages
The 2021 report on Fass="highlight">armer Numbers in the UK ass="highlight">and Irelass="highlight">and provides ass="highlight">a unique ass="highlight">anass="highlight">alysis ass="highlight">of reass="highlight">al fass="highlight">arm business numbers, ass="highlight">offering ass="highlight">a robust ass="highlight">dataset with historic ass="highlight">and
Preview of Marathon- en Crossloopresultaten 2019
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Marathon- en Crossloopresultaten 2019 (Volkslaufstatistik-SVOneu.pdf)

178 KBManfredDE 4 pages
Die Tass="highlight">abelle listet verschiedene Lass="highlight">aufverass="highlight">anstass="highlight">altungen mit Dass="highlight">aten und Teilnehmern ass="highlight">auf
Preview of Reinforcement Learning for Explainable Recommendation
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Reinforcement Learning for Explainable Recommendation (1906.05237.pdf)

1.38 MBYikun Xian, Zuohui Fu, S. Muthukrishnan, Gerard de Melo, and Yongfeng ZhangEN 10 pages
ass="highlight">A method for explass="highlight">ainass="highlight">able recommendass="highlight">ations using knowledge grass="highlight">aph reass="highlight">asoning, providing interpretass="highlight">able pass="highlight">aths
Preview of Bipartite Ranking Bounds
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Bipartite Ranking Bounds (389_main_paper.pdf)

1.49 MBEN 10 pages
Bipass="highlight">artite rass="highlight">anking hass="highlight">as ass="highlight">a quass="highlight">adrass="highlight">atic dependence on sass="highlight">ample size
Preview of Chirp Microsystems EV_MOD_CH201 Evaluation Module User Guide
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Chirp Microsystems EV_MOD_CH201 Evaluation Module User Guide (3967352.pdf)

583 KBEN 9 pages
0) detass="highlight">ails specificass="highlight">ations, pin ass="highlight">assignments, ass="highlight">and usass="highlight">age for the CH201 boass="highlight">ard, ass="highlight">offering ass="highlight">an overview for developers
Preview of Murata MLCC Production Expansion and Factory Addition Notification
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Murata MLCC Production Expansion and Factory Addition Notification (3222398.pdf)

242 KBfm36521EN 13 pages
Murass="highlight">atass="highlight">a notifies customers ass="highlight">about ass="highlight">adding ass="highlight">a new MLCC fass="highlight">actory in the Philippines to support delivery
Preview of VideoReTalking: Audio-based Lip Synchronization for Real-World Video Editing
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VideoReTalking: Audio-based Lip Synchronization for Real-World Video Editing (2211.14758.pdf)

3.5 MBEN 13 pages
VideoReTass="highlight">alking uses ass="highlight">audio-bass="highlight">ased lip synchronizass="highlight">ation to creass="highlight">ate reass="highlight">alistic tass="highlight">alking heass="highlight">ad videos, even in 'in-the-wild' conditions, ass="highlight">accurass="highlight">ately mass="highlight">atching lip movements to input ass="highlight">audio ass="highlight">and retouching fass="highlight">aciass="highlight">al expressions
Preview of Global Crop Growth Trends Under Climate Change
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Global Crop Growth Trends Under Climate Change (isprs-annals-IV-3-45-2018.pdf)

1.53 MBBin ChenEN 8 pages
Globass="highlight">al crop growth ass="highlight">and cropping intensity increass="highlight">ased from 1982 to 2018, ass="highlight">as observed by long-term sass="highlight">atellite dass="highlight">atass="highlight">a
Preview of EODC Issuance Guide
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EODC Issuance Guide (Trade-Notice-01-6Apr2023.pdf)

176 KBAdminEN 2 pages
The Directorass="highlight">ate Generass="highlight">al ass="highlight">of Foreign Trass="highlight">ade issues Trass="highlight">ade Notice 01/2023-24 regass="highlight">arding EODC for ass="highlight">Aass="highlight">A ass="highlight">and EPCG processes
Preview of Plant Disease Detection
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Plant Disease Detection (12122cseij15.pdf)

462 KBOnkar Saxena, Shikha Agrawal2 and Sanjay SilakariEN 10 pages
Plass="highlight">ant diseass="highlight">ase detection uses deep leass="highlight">arning models for eass="highlight">arly stass="highlight">age identificass="highlight">ation
Preview of KTR-Zuchtdaten >2016 - HD-PL-CCL-PLL-PRA 3-rcd 4-ZZL
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KTR-Zuchtdaten >2016 - HD-PL-CCL-PLL-PRA 3-rcd 4-ZZL (2016-0_hd_zzl-komplett.2016.pdf)

48 KBKTR-HZWPT 3 pages
Listass="highlight">a de cães com informass="highlight">ações sobre rass="highlight">açass="highlight">a, nome, número de registro, resultass="highlight">ados de exass="highlight">ames de sass="highlight">aúde e dass="highlight">atass="highlight">as de reass="highlight">alizass="highlight">ação dos exass="highlight">ames
Preview of Environmental Review
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Environmental Review (VNP27-EnvSciMenHealthReview-A4-88pp reduced.pdf)

1.88 MBEN 88 pages
Reseass="highlight">archers conducted ass="highlight">a systemass="highlight">atic scoping review ass="highlight">and expert workshops to exass="highlight">amine the relass="highlight">ationship between environmentass="highlight">al science ass="highlight">and mentass="highlight">al heass="highlight">alth, ass="highlight">anass="highlight">alyzing
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
Preview of Deep Kernel for GPs
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Deep Kernel for GPs (328_main_paper.pdf)

3.04 MBEN 10 pages
It ass="highlight">addresses issues ass="highlight">of optimass="highlight">ality, explass="highlight">ainass="highlight">ability, model complexity, ass="highlight">and sass="highlight">ample efficiency
Preview of Questionable Reproducibility in Deep Learning: Environmental Effects on Published Results
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Questionable Reproducibility in Deep Learning: Environmental Effects on Published Results (Q18-1018.pdf)

350 KBEN 12 pages
Questionass="highlight">able ass="highlight">Answers in Question ass="highlight">Answering Reseass="highlight">arch highlights concerns ass="highlight">about the reproducibility ass="highlight">of deep leass="highlight">arning results, despite their field's populass="highlight">arity
Preview of Macroalgae and phytoplankton as indicators of ecological status of Danish coastal waters
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Macroalgae and phytoplankton as indicators of ecological status of Danish coastal waters (fr683.pdf)

7.11 MBJacob Carstensen/ Dorte Krause-Jensen/Karsten Dahl/Peter Henriksen/Danmarks MiljøundersøgelserEN 96 pages
Published in December 2008, it is ass="highlight">a NERI Technicass="highlight">al Report (No
Preview of QF535 A – Rogério Custodio
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QF535 A – Rogério Custodio (QF535-A-Rogerio-Custodio.pdf)

792 KBRitaPT 5 pages
ass="highlight">A disciplinass="highlight">a Introdução à Químicass="highlight">a Quânticass="highlight">a (QF535) será ministrass="highlight">adass="highlight">a no 2º semestre de 2023, com ass="highlight">aulass="highlight">as teóricass="highlight">as e seminários em grupo, ass="highlight">abordass="highlight">ando o
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入学試験ガイド (07_shutugantetuduki.pdf)

1.2 MBPT 9 pages
O processo de inscrição pass="highlight">arass="highlight">a o exass="highlight">ame de ass="highlight">admissão dass="highlight">a Universidass="highlight">ade de Ciênciass="highlight">as Médicass="highlight">as de Iwass="highlight">ate inclui váriass="highlight">as etass="highlight">apass="highlight">as, como inscrição online, pass="highlight">agass="highlight">amento dass="highlight">a tass="highlight">axass="highlight">a de

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