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Publications 2004 2019

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2018

Quantitative Methods for the Analysis of Medieval Calendars

Heikkilä, T. M. & Roos, T. T., Dec 2018, In : Digital Scholarship in the Humanities : DSH . 33, 4, p. 766–787 22 p.

Research output: Contribution to journalArticleScientificpeer-review

2017

Learning Gaussian graphical models with fractional marginal pseudo-likelihood

Leppä-Aho, J., Pensar, J., Roos, T. T. & Corander, J., 11 Jan 2017, In : International Journal of Approximate Reasoning. 83, p. 21-42 22 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
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On Model Selection, Bayesian Networks, and the Fisher Information Integral

Zou, Y. & Roos, T., Jan 2017, In : New Generation Computing. 35, 1, p. 5-27 23 p.

Research output: Contribution to journalArticleScientificpeer-review

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Representing local structure in Bayesian networks by Boolean functions

Zou, Y., Pensar, J. & Roos, T., 1 Aug 2017, In : Pattern Recognition Letters. 95, p. 73-77 5 p.

Research output: Contribution to journalArticleScientificpeer-review

2016

Kvasir: Scalable Provision of Semantically Relevant Web Content on Big Data Framework

Wang, L., Tasoulis, S., Roos, T. & Kangasharju, J., 2016, In : IEEE Transactions on Big Data. 2, 3, p. 219-233 15 p.

Research output: Contribution to journalArticleScientificpeer-review

Maximum Parsimony and the Skewness Test: A Simulation Study of the Limits of Applicability

Määttä, J. & Roos, T., 1 Apr 2016, In : PLoS One. 11, 4, 21 p., e0152656.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
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Oral fairy tale or literary fake? Investigating the origins of Little Red Riding Hood using phylogenetic network analysis

Tehrani, J., Nguyen, Q. & Roos, T., Sep 2016, In : Digital Scholarship in the Humanities : DSH . 31, 3, p. 611-636 26 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access

Subset Selection in Linear Regression using Sequentially Normalized Least Squares: Asymptotic Theory

Määttä, J., Schmidt, D. F. & Roos, T., Jun 2016, In : Scandinavian Journal of Statistics. 43, 2, p. 382-395 14 p.

Research output: Contribution to journalArticleScientificpeer-review

Tekoäly etsii ratkaisuja ja oppii: Tutkijan pöydältä

Roos, T. T., Oct 2016, In : Chydenius. 2016, 3, p. 39-39 1 p.

Research output: Contribution to journalArticleGeneral public

Open Access

Thematic Section on Studia Stemmatologica

Heikkilä, T. & Roos, T., Sep 2016, In : Digital Scholarship in the Humanities : DSH . 31, 3, p. 520-522 3 p.

Research output: Contribution to journalArticleScientificpeer-review

2015

Achievability of asymptotic minimax regret by horizon-dependent and horizon-independent strategies

Watanabe, K. & Roos, T. T., Nov 2015, In : Journal of Machine Learning Research. 16, p. 2357−2375 9 p.

Research output: Contribution to journalArticleScientificpeer-review

Inferring intra-motif dependencies of DNA binding sites from ChIP-seq data

Eggeling, R., Roos, T., Myllymäki, P. & Grosse, I., 9 Nov 2015, In : BMC Bioinformatics. 16, 15 p., 375.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
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2012

Editorial: Special issue on the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010)

Roos, T. (ed.), Myllymäki, P. (ed.) & Jaakkola, T. (ed.), Dec 2012, In : International Journal of Approximate Reasoning. 59, 9, p. 1303–1304 2 p.

Research output: Contribution to journalArticleScientific

Open Access
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2011

Discriminative learning of Bayesian networks via factorized conditional log-likelihood

Carvalho, A. M., Roos, T. T., Oliveira, A. L. & Myllymäki, P., 2011, In : Journal of Machine Learning Research. 12, p. 2181-2210 30 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
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Yksinkertainen on kaunista: Okkamin partaveitsi tilastollisessa mallinnuksessa

Roos, T. T., 2011, In : Tietojenkäsittelytiede. 32, p. 48-63

Research output: Contribution to journalArticleProfessional

Open Access
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2010

Learning locally minimax optimal Bayesian networks

Silander, T., Roos, T. T. & Myllymäki, P., 2010, In : International Journal of Approximate Reasoning. 51/2010, 5, p. 544-557 14 p.

Research output: Contribution to journalArticleScientificpeer-review

Model selection by sequentially normalized least squares

Rissanen, J., Roos, T. & Myllymaki, P., 2010, In : Journal of Multivariate Analysis. 101, p. 839-849 11 p.

Research output: Contribution to journalArticleScientificpeer-review

Terveisiä huippuyliopistoista

Roos, T., Jul 2010, In : Tietojenkäsittelytiede. 30, p. 7-12 6 p.

Research output: Contribution to journalArticleProfessional

2009

Evaluating methods for computer-assisted stemmatology using artificial benchmark data sets

Roos, T. T. & Heikkilä, T., 2009, In : Literary and Linguistic Computing. 24, 4, p. 417-433 17 p.

Research output: Contribution to journalArticleScientificpeer-review

MDL denoising revisited

Roos, T., Myllymäki, P. & Rissanen, J., 2009, In : IEEE Transactions on Signal Processing. 57, 9, p. 3347-3360 14 p.

Research output: Contribution to journalArticleScientificpeer-review

2007

Information theoretic methods for bioinformatics

Rissanen, J., Grunwald, P., Heikkonen, J., Myllymäki, P., Roos, T. & Rousu, J., 2007, In : EURASIP Journal on Bioinformatics and Systems Biology. 2007, Article ID 79128, 2 p.

Research output: Contribution to journalArticleScientificpeer-review

2005

On discriminative Bayesian network classifiers and logistic regression

Roos, T., Wettig, H., Grunwald, P., Myllymäki, P. & Tirri, H., 2005, In : Machine Learning. 59, 3, p. 267-296 30 p.

Research output: Contribution to journalArticleScientificpeer-review