E-LIB Suche - Ergebnisse für: Siivola, Eero

1

Handbook for a Data-Driven Circular Economy in Finland:Data..:

Berg, Annukka ; Dahlbo, Helena ; Eilu, Pasi...
Kauppila , T (ed.) , Berg , A , Dahlbo , H , Eilu , P , Heikkilä , P , Hentunen , A , Hilska-Keinänen , K , Horn , S , Ilvesniemi , H , Jenu , S , Karhu , M , Karppinen , T K M , Kauppi , S , Kivikytö-Reponen , P , Lavikko , S , Lehtonen , E , Luostarinen , S , Majaniemi , S , Malmi , P , Naumanen , M , Ovaska , J-P , Pesonen , L , Pesu , J , Pitkänen , H , Pokki , J , Räisänen , M , Salminen , J , Sapon , S , Siivola , E , Sorvari , J , Tanner , H , Tuovila , H , Uusitalo , T & Valtanen , K 2022 , Handbook for a Data-Driven Circular Economy in Finland : Data Sources, Tools, and Governance for Circular Design . VTT Technology , no. 401 , VTT Technical Research Centre of Finland . https://doi.org/10.32040/2242-122X.2022.T401. , 2022

Link: https://cris.vtt.fi/en/p..

2

Qualifying drug dosing regimens in pediatrics using Gaussia..:

Siivola, Eero ; Weber, Sebastian ; Vehtari, Aki
STATISTICS IN MEDICINE. , 2021

Link: https://aaltodoc.aalto.f..

3

Good practices for Bayesian optimization of high dimensiona..:

Siivola, Eero ; Paleyes, Andrei ; González, Javier.
Applied AI Letters. , 2021

Link: https://aaltodoc.aalto.f..

4

Good practices for Bayesian Optimization of high dimensiona..:

Siivola, Eero ; Gonzalez, Javier ; Paleyes, Andrei.
http://arxiv.org/abs/2012.15471. , 2020

Link: http://arxiv.org/abs/201..

5

Preferential Batch Bayesian Optimization:

Siivola, Eero ; Dhaka, Akash Kumar ; Andersen, Michael Riis...
http://arxiv.org/abs/2003.11435. , 2020

Link: http://arxiv.org/abs/200..

6

Correcting Boundary Over-Exploration Deficiencies In Bayesi..:

Siivola, Eero ; Vehtari, Aki ; Vanhatalo, Jarno..
10.1109/MLSP.2018.8516936. , 2020

Link: http://hdl.handle.net/10..

7

Active Learning for Decision-Making from Imbalanced Observa..:

Sundin, Iiris ; Schulam, Peter ; Siivola, Eero...
International Conference on Machine Learning. , 2019

Link: https://aaltodoc.aalto.f..

8

Active Learning for Decision-Making from Imbalanced Observa..:

Sundin, Iiris ; Schulam, Peter ; Siivola, Eero...
http://arxiv.org/abs/1904.05268. , 2019

Link: http://arxiv.org/abs/190..

9

Using counterfactual queries to improve models for decision..:

Sundin, Iiris ; Schulam, Peter ; Siivola, Eero...
doi:10.5281/zenodo.1489149. , 2018

Link: https://zenodo.org/recor..

10

Correcting boundary over-exploration deficiencies in Bayesi..:

Siivola, Eero ; Vehtari, Aki ; Vanhatalo, Jarno..
http://arxiv.org/abs/1704.00963. , 2017

Link: http://arxiv.org/abs/170..

11

Requirement verification in simulation-based automation tes..:

Siivola, Eero ; Sierla, Seppo ; Niemistö, Hannu..
Siivola , E , Sierla , S , Niemistö , H , Karhela , T & Vyatkin , V 2016 , Requirement verification in simulation-based automation testing . in Industrial Informatics (INDIN), 2016 IEEE 14th International Conference on . IEEE Institute of Electrical and Electronic Engineers , pp. 740 - 743 , 14th IEEE International Conference on Industrial Informatics, INDIN 2016 , Poitiers , France , 19/07/16 . https://doi.org/10.1109/INDIN.2016.7819257. , 2016

Link: https://cris.vtt.fi/en/p..

12

Automatic monotonicity detection for Gaussian Processes:

Siivola, Eero ; Piironen, Juho ; Vehtari, Aki
http://arxiv.org/abs/1610.05440. , 2016

Link: http://arxiv.org/abs/161..

13

Requirement verification in simulation-based automation tes..:

Siivola, Eero ; Sierla, Seppo ; Niemistö, Hannu..
http://arxiv.org/abs/1602.02504. , 2016

Link: http://arxiv.org/abs/160..

14

VictoriaLyu/gpstuff: Evaluating Gaussian Process Metamodels..:

Aki Vehtari ; Jarno Vanhatalo ; T. Sivula...
https://github.com/VictoriaLyu/gpstuff/tree/STCOSource. , 2021

Link: https://zenodo.org/recor..

15

Good practices for Bayesian optimization of high dimensiona..:

Eero Siivola ; Andrei Paleyes ; Javier González.
https://doi.org/10.1002/ail2.24. , 2021

Link: https://doi.org/10.1002/..