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Multiple Output Regression with Latent Noise.

J. Gillberg, P. Marttinen, M. Pirinen, A. Kangas, P. Soininen, M. Ali, A. Havulinna, M. Järvelin, M. Ala-Korpela, and S. Kaski. J. Mach. Learn. Res., (2016)

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Pekka Helstelä

Pekka Kärkkäinen

Pekka Leiß

Pekka Jänis

Pekka Roisko

Other publications of authors with the same name

Deep Learning for Depression Recognition with Audiovisual Cues: A Review.L. He, M. Niu, P. Tiwari, P. Marttinen, R. Su, J. Jiang, C. Guo, H. Wang, S. Ding, Z. Wang and 2 other author(s). CoRR, (2021)Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning.S. Ji, and P. Marttinen. CoRR, (2021)Bayesian learning of graphical vector autoregressions with unequal lag-lengths.P. Marttinen, and J. Corander. Mach. Learn., 75 (2): 217-243 (2009)Predicting utilization of healthcare services from individual disease trajectories using RNNs with multi-headed attention.Y. Kumar, H. Salo, T. Nieminen, K. Vepsalainen, S. Kulathinal, and P. Marttinen. ML4H@NeurIPS, volume 116 of Proceedings of Machine Learning Research, page 93-111. PMLR, (2019)Mixture of Coupled HMMs for Robust Modeling of Multivariate Healthcare Time Series.O. Poyraz, and P. Marttinen. ML4H@NeurIPS, volume 225 of Proceedings of Machine Learning Research, page 461-479. PMLR, (2023)Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets.L. Micallef, I. Sundin, P. Marttinen, M. ud din, T. Peltola, M. Soare, G. Jacucci, and S. Kaski. IUI, page 547-552. ACM, (2017)Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation.M. Järvenpää, A. Vehtari, and P. Marttinen. UAI, volume 124 of Proceedings of Machine Learning Research, page 779-788. AUAI Press, (2020)Contextualized Graph Embeddings for Adverse Drug Event Detection.Y. Gao, S. Ji, T. Zhang, P. Tiwari, and P. Marttinen. ECML/PKDD (2), volume 13714 of Lecture Notes in Computer Science, page 605-620. Springer, (2022)Parallel Gaussian process surrogate method to accelerate likelihood-free inference.M. Järvenpää, M. Gutmann, A. Vehtari, and P. Marttinen. CoRR, (2019)A Survey on Knowledge Graphs: Representation, Acquisition and Applications.S. Ji, S. Pan, E. Cambria, P. Marttinen, and P. Yu. CoRR, (2020)

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Disambiguation of "Marttinen, Pekka"

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Multiple Output Regression with Latent Noise.

Please choose a person to relate this publication to

Pekka Helstelä

Pekka Kärkkäinen

Pekka Leiß

Pekka Jänis

Pekka Roisko

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Marttinen, Pekka"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Multiple Output Regression with Latent Noise.

Please choose a person to relate this publication to

Pekka Helstelä

Pekka Kärkkäinen

Pekka Leiß

Pekka Jänis

Pekka Roisko

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Multiple Output Regression with Latent Noise.