DataverseNO

Metrics

1,854,139 Downloads

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

License: CC0 1.0

127,901 to 127,910 of 134,348 Results

Replication Data for: A gradient boosting approach for optimal selection of bidding strategies: Simple model - Original variables Apr 20, 2020 - NTNU – Norwegian University of Science and Technology Riddervold, Hans Ole, 2020, "Replication Data for: A gradient boosting approach for optimal selection of bidding strategies: Simple model - Original variables", https://doi.org/10.18710/WNKSVX, DataverseNO, V1, UNF:6:gXehgeAeqs6FWVHODiWuAQ== [fileUNF] Access to an increasing amount of data opens for the application of machine learning models to predict the best combination of models and strategies for bidding of hydro power in a de-regulated market for any given day. This data-set describe the historical performance-gap of two given bidding strategies over several years (2016-2018). Data from tw...
00_ReadMe.txt Apr 20, 2020 - Replication Data for: A gradient boosting approach for optimal selection of bidding strategies: Simple model - Original variables Plain Text - 1.5 KB - MD5: 08bd9bc8bb6ff0eef16ace084c8df545
simple model original variables.tab Apr 20, 2020 - Replication Data for: A gradient boosting approach for optimal selection of bidding strategies: Simple model - Original variables Tabular Data - 223.4 KB - 15 Variables, 1045 Observations - UNF:6:gXehgeAeqs6FWVHODiWuAQ==
03dat1.tab Apr 15, 2020 - Replication Data for: Davvisámi earutkeahtes oamasteapmi Tabular Data - 14.9 KB - 4 Variables, 737 Observations - UNF:6:dsqq3osqmstFH57/4I/b6A== This file contains the data for 04Rplot1.pdf.
04Rplot1.pdf Apr 15, 2020 - Replication Data for: Davvisámi earutkeahtes oamasteapmi Adobe PDF - 830.3 KB - MD5: c7583d149343866f55f927b56417259e This is the graph that appears as Figure 2 in the article associated with this dataset.
05dat2.tab Apr 15, 2020 - Replication Data for: Davvisámi earutkeahtes oamasteapmi Tabular Data - 3.1 KB - 1 Variables, 150 Observations - UNF:6:9W7CkLYwriV8kaVPKXC0pA== This file contains the data for 06Rplot2.pdf.
06Rplot2.pdf Apr 15, 2020 - Replication Data for: Davvisámi earutkeahtes oamasteapmi Adobe PDF - 203.1 KB - MD5: 92b83b18ed4bb623fa23899d7620f4b5 This is the graph that appears as Figure 3 in the article associated with this dataset.
Czech word and MWE lists Apr 9, 2020 - TROLLing Cvrček, Václav, 2020, "Czech word and MWE lists", https://doi.org/10.18710/PGDWXC, DataverseNO, V1 This post contains word and MWE (multi-word expression) lists used for the operationalization of some of the linguistic features in the multi-dimensional analysis (MDA) of Czech project carried out at the Czech National Corpus. The MDA procedure requires identifying and operationalizing linguistic features relevant for register variation in the lan...
00_README.docx Apr 9, 2020 - Czech word and MWE lists MS Word - 33.6 KB - MD5: 55e39b59b55c8e946a3de1e6b03b24ee Start here.
00_README.pdf Apr 9, 2020 - Czech word and MWE lists Adobe PDF - 405.8 KB - MD5: 09437a34a9c9e3c9f2395e66de1e312a Start here.

Replication Data for: A gradient boosting approach for optimal selection of bidding strategies: Simple model - Original variables

Apr 20, 2020 - NTNU – Norwegian University of Science and Technology

Riddervold, Hans Ole, 2020, "Replication Data for: A gradient boosting approach for optimal selection of bidding strategies: Simple model - Original variables", https://doi.org/10.18710/WNKSVX, DataverseNO, V1, UNF:6:gXehgeAeqs6FWVHODiWuAQ== [fileUNF]

Access to an increasing amount of data opens for the application of machine learning models to predict the best combination of models and strategies for bidding of hydro power in a de-regulated market for any given day. This data-set describe the historical performance-gap of two given bidding strategies over several years (2016-2018). Data from tw...

00_ReadMe.txt

Apr 20, 2020 - Replication Data for: A gradient boosting approach for optimal selection of bidding strategies: Simple model - Original variables

Plain Text - 1.5 KB -

simple model original variables.tab

Apr 20, 2020 - Replication Data for: A gradient boosting approach for optimal selection of bidding strategies: Simple model - Original variables

Tabular Data - 223.4 KB - 15 Variables, 1045 Observations -

03dat1.tab

Apr 15, 2020 - Replication Data for: Davvisámi earutkeahtes oamasteapmi

Tabular Data - 14.9 KB - 4 Variables, 737 Observations -

This file contains the data for 04Rplot1.pdf.

04Rplot1.pdf

Apr 15, 2020 - Replication Data for: Davvisámi earutkeahtes oamasteapmi

Adobe PDF - 830.3 KB -

This is the graph that appears as Figure 2 in the article associated with this dataset.

05dat2.tab

Apr 15, 2020 - Replication Data for: Davvisámi earutkeahtes oamasteapmi

Tabular Data - 3.1 KB - 1 Variables, 150 Observations -

This file contains the data for 06Rplot2.pdf.

06Rplot2.pdf

Apr 15, 2020 - Replication Data for: Davvisámi earutkeahtes oamasteapmi

Adobe PDF - 203.1 KB -

This is the graph that appears as Figure 3 in the article associated with this dataset.

Czech word and MWE lists

Apr 9, 2020 - TROLLing

Cvrček, Václav, 2020, "Czech word and MWE lists", https://doi.org/10.18710/PGDWXC, DataverseNO, V1

This post contains word and MWE (multi-word expression) lists used for the operationalization of some of the linguistic features in the multi-dimensional analysis (MDA) of Czech project carried out at the Czech National Corpus. The MDA procedure requires identifying and operationalizing linguistic features relevant for register variation in the lan...

00_README.docx

Apr 9, 2020 - Czech word and MWE lists

MS Word - 33.6 KB -

Start here.

00_README.pdf

Apr 9, 2020 - Czech word and MWE lists

Adobe PDF - 405.8 KB -

Start here.

Add Data

Share Dataverse

Link Dataverse

Reset Modifications