Interactive machine learning from multiple biodata sources

Research Output

  • 2 Conference contribution
  • 1 Article
2020

A high-performance implementation of bayesian matrix factorization with limited communication

Vander Aa, T., Qin, X., Blomstedt, P., Wuyts, R., Verachtert, W. & Kaski, S., 1 Jan 2020, Computational Science – ICCS 2020 - 20th International Conference, Proceedings. Krzhizhanovskaya, V. V., Závodszky, G., Lees, M. H., Sloot, P. M. A., Sloot, P. M. A., Sloot, P. M. A., Dongarra, J. J., Brissos, S. & Teixeira, J. (eds.). p. 3-16 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12142 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access

Human Strategic Steering Improves Performance of Interactive Optimization

Colella, F., Daee, P., Jokinen, J., Oulasvirta, A. & Kaski, S., 13 May 2020, Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization: UMAP 2020. New York, NY, United States: ACM, p. 293-297 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
2019

Parameter Inference for Computational Cognitive Models with Approximate Bayesian Computation

Kangasrääsiö, A., Jokinen, J. P. P., Oulasvirta, A., Howes, A. & Kaski, S., 1 Jun 2019, In : COGNITIVE SCIENCE. 43, 6, 40 p., 12738.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
5 Citations (Scopus)
121 Downloads (Pure)