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Cette offre est en vigueur le vendredi 6 et le lundi 9 juillet, en ligne seulement sur rona.ca (pour les magasins participants ) et le samedi 7 et le dimanche 8 juillet 2018, en ligne et dans les magasins participants . Obtenez 10 % de rabais avec tout achat de 100 $ à 249,99 $; 15 % de rabais avec tout achat de 250 $ à 499,99 $ et 20 % de rabais avec tout achat de 500 $ ou plus (avant taxes, sur une même facture). Applicable uniquement sur la marchandise à prix régulier achetée par paiement comptant et par carte de débit ou crédit. Applicable aussi aux produits livrés et/ou installés si le tarif exigé pour la livraison et/ou l’installation est payé en totalité au moment de l’achat. Les coûts des différents services offerts en magasin tels que l’installation, la livraison, la location, le service de coupe, etc. ne sont pas admissibles à cette offre. RONA se réserve le droit de limiter les quantités des produits achetés. Jusqu'à épuisement des stocks. Ne s’applique pas aux achats de fils électriques, de panneaux isolants, de bois de construction, de bardeaux d'asphalte, de panneaux de contreplaqué, de copeaux et de gypse, d’électroménagers, de produits Rockwool, Husqvarna, Google Home, Nest, Weber, Broil King et de cartes-cadeaux. Les commandes spéciales, les offres RONAvantages, les achats faits antérieurement, les mises de côté et les achats effectués par des clients ayant une entente contractuelle spécifique avec RONA ne sont pas admissibles à cette offre. L’offre est non monnayable et ne peut être combinée à aucune autre offre. Certaines conditions s’appliquent. Renseignements dans les magasins participants .

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Evolution Strategies

Four projects that share a common theme of enhancing or using generative models.

Generative Models

We regularly publish our research, which focuses on reinforcement learning , robotics , and generative models .

December 4, 2017

Language November 2, 2017

Reinforcement Learning October 26, 2017

Reinforcement Learning October 12, 2017

Reinforcement Learning October 10, 2017

Language September 13, 2017

Reinforcement Learning August 28, 2017

Reinforcement Learning July 5, 2017

Reinforcement Learning July 1, 2017

Safety June 12, 2017

Language June 7, 2017

Reinforcement Learning June 6, 2017

Reinforcement Learning June 5, 2017

Reinforcement Learning April 21, 2017

Language April 5, 2017

Robotics March 21, 2017

Robotics March 20, 2017

Language March 15, 2017

Generative Models March 12, 2017

Evolution March 10, 2017

Robotics March 6, 2017

Safety February 8, 2017

Generative Models January 19, 2017

Reinforcement Learning December 5, 2016

Reinforcement Learning November 15, 2016

Generative Models November 14, 2016

Reinforcement Learning November 12, 2016

Generative Models November 11, 2016

Reinforcement Learning November 9, 2016

Generative Models November 8, 2016

Safety November 7, 2016

Memory November 2, 2016

Safety October 18, 2016

Robotics October 11, 2016

Infrastructure August 29, 2016

Safety June 21, 2016

Generative Models June 15, 2016

Generative Models June 12, 2016

Generative Models June 10, 2016

Ethnography
Pragmatic study
Activities of daily living, 1:

Activities of daily living, 1: , 445–446

Everyday environment
Adaptive designs in clinical trials, 1:

Adaptive designs in clinical trials, 1:

Sequential design
Age of participants, 1:

Age of participants, 1: , 313–314

Childhood studies
Longitudinal design
Time-lag study
Agreement

Agreement

coefficients of, 2:
difference and, joint method of, 1: 451–452
Interrater reliability
Alienation, coefficient of, 1:

Alienation, coefficient of, 1:

Coefficients of correlation, alienation, and determination
Alpha
Coefficient alpha
Coefficient alpha
Krippendorff's, 1: , 668–673
testwise versus familywise, 2: 574–575
Alpha level, 2:

Alpha level, 2: 1145–1147 ,

Significance level, concept of
Significance level, interpretation and construction
Alpha level inflation, 2:

Alpha level inflation, 2:

Type I error
Alternate forms reliability, 1:

Alternate forms reliability, 1: , ,

Parallel forms reliability
Alternating least squares, 2:

Alternating least squares, 2:

Least squares, methods of
Alternative hypotheses, 1:

Alternative hypotheses, 1: 11–12 , ,

beta, Type II error, and, 1: 81–82
consequential significance and, 1:
directional and nondirectional, 1: cheap wholesale hot sale Conviction X 2 Womens Training Shoes clearance limited edition ngFmg
, 909–910 , ,
inexactness of, 2:
Hypothesis
Null hypothesis
Research hypothesis
American Psychological Association style, 1:

American Psychological Association style, 1: 16–19

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About this tool

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Our ARRIVE (Animal Research: Reporting of Experiments) guidelines are intended to improve the reporting of research using animals – maximising information published and minimising unnecessary studies.

The ARRIVE guidelines, originally published in PLOS Biology , were developed in consultation with the scientific communityas part of an NC3Rs initiative to improve the standard of reporting of research using animals.

You can download the ARRIVE guidelines in English by clicking on the purple box above, or by following this link .

Further information on the project, including the current list of endorsements by scientific journals, funding bodies, universities and learned societies can be found within our Our Science pages .

The ARRIVE guidelines are available in a number of languages . Please scroll down to download electronic copies inChinese (Mandarin), French, Italian, Japanese, Korean, Portuguese (including Brazilian Portuguese) and Spanish.

To request copies of the pocket-sized ARRIVE guidelines (English only) please email enquiries@nc3rs.org.uk with your name, postal address andthe number of copies required.

The ARRIVE checklist is designed to be used when submitting manuscripts describing animal research. To complete the checklist, fill in the right-hand column with the section and paragraph (e.g. ‘Methods, Paragraph 2’) reporting the ARRIVE item. If the checklist item is not applicable to the study being reported, provide a reason for not reporting this information in the right-hand column. A completed checklist can be provided as supplementary information and will help reviewers and editors to ensure the high-quality reporting of animal research.

NOTE: Please ensure that you save the pdf locally on your machine before you fill in the table, DO NOT work on the file within your internet browser as thechanges will not be saved.If you are unable to complete the PDF checklist, please download the Word version .An example of a manuscript using the ARRIVE checklist can be found .

Resources to support the use of the guidelines

Translations

Our ARRIVE guidelines are now available in a number of languages (more coming soon):

Related content

ARRIVE webinar : 'The ARRIVE guidelines: Improving the design and reporting of animal research to optimize the reproducibility of animal studies', presented byDr Katie Lidster at the Laboratory Animal Science virtual conference.

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