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We investigate the problem of learning the structure of a Markov network from data. It is shown that the structure of such networks can be described in terms of constraints which enables the use of existing solver technology with optimization capabilities to compute optimal networks starting from initial scores computed from the data. To achieve efficient… (More)

- Ada Johansson, Patrick Jern, +7 authors N Kenneth Sandnabba
- Twin research and human genetics : the official…
- 2013

The Genetics of Sexuality and Aggression (GSA) project was launched at the Abo Akademi University in Turku, Finland in 2005 and has so far undertaken two major population-based data collections involving twins and siblings of twins. To date, it consists of about 14,000 individuals (including 1,147 informative monozygotic twin pairs, 1,042 informative… (More)

- Janne Leppä-aho, Johan Pensar, Teemu Roos, Jukka Corander
- Int. J. Approx. Reasoning
- 2017

We propose a Bayesian approximate inference method for learning the dependence structure of a Gaussian graphical model. Using pseudo-likelihood, we derive an analytical expression to approximate the marginal likelihood for an arbitrary graph structure without invoking any assumptions about decomposability. The majority of the existing methods for learning… (More)

- Johan Pensar, Henrik J. Nyman, Timo Koski, Jukka Corander
- Data Mining and Knowledge Discovery
- 2014

We introduce a novel class of labeled directed acyclic graph (LDAG) models for finite sets of discrete variables. LDAGs generalize earlier proposals for allowing local structures in the conditional probability distribution of a node, such that unrestricted label sets determine which edges can be deleted from the underlying directed acyclic graph (DAG) for a… (More)

- Johan Pensar, Henrik J. Nyman, Jarno Lintusaari, Jukka Corander
- Int. J. Approx. Reasoning
- 2016

- Tomi Janhunen, Martin Gebser, Jussi Rintanen, Henrik J. Nyman, Johan Pensar, Jukka Corander
- Statistics and Computing
- 2017

- Henrik J. Nyman, Jie Xiong, Johan Pensar, Jukka Corander
- Adv. Data Analysis and Classification
- 2016

- Yuan Zou, Johan Pensar, Teemu Roos
- Pattern Recognition Letters
- 2017

- Henrik J. Nyman, Johan Pensar, Jukka Corander
- Dependence Logic
- 2016

- Alessandro Tadei, Johan Pensar, Jukka Corander, Katarina Finnilä, Pekka Santtila, Jan Antfolk
- Sexual abuse : a journal of research and…
- 2017

In assessments of child sexual abuse (CSA) allegations, informative background information is often overlooked or not used properly. We therefore created and tested an instrument that uses accessible background information to calculate the probability of a child being a CSA victim that can be used as a starting point in the following investigation. Studying… (More)