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Jukka Corander
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Publications
- 2017
- [j42]Tomi Janhunen, Martin Gebser, Jussi Rintanen, Henrik J. Nyman, Johan Pensar, Jukka Corander:
Learning discrete decomposable graphical models via constraint optimization. Stat. Comput. 27(1): 115-130 (2017) - 2016
- [j38]Henrik J. Nyman, Jie Xiong, Johan Pensar, Jukka Corander:
Marginal and simultaneous predictive classification using stratified graphical models. Adv. Data Anal. Classif. 10(3): 305-326 (2016) - [j34]Henrik J. Nyman, Johan Pensar, Timo Koski, Jukka Corander:
Context-specific independence in graphical log-linear models. Comput. Stat. 31(4): 1493-1512 (2016) - [j32]Johan Pensar, Henrik J. Nyman, Jarno Lintusaari, Jukka Corander:
The role of local partial independence in learning of Bayesian networks. Int. J. Approx. Reason. 69: 91-105 (2016) - [p1]Henrik J. Nyman, Johan Pensar, Jukka Corander:
Context-Specific and Local Independence in Markovian Dependence Structures. Dependence Logic 2016: 219-234 - 2015
- [j28]Johan Pensar, Henrik J. Nyman, Timo Koski, Jukka Corander:
Labeled directed acyclic graphs: a generalization of context-specific independence in directed graphical models. Data Min. Knowl. Discov. 29(2): 503-533 (2015) - 2013
- [c3]Jukka Corander, Tomi Janhunen, Jussi Rintanen, Henrik J. Nyman, Johan Pensar:
Learning Chordal Markov Networks by Constraint Satisfaction. NIPS 2013: 1349-1357 - [i2]Jukka Corander, Tomi Janhunen, Jussi Rintanen, Henrik J. Nyman, Johan Pensar:
Learning Chordal Markov Networks by Constraint Satisfaction. CoRR abs/1310.0927 (2013) - [i1]Johan Pensar, Henrik J. Nyman, Timo Koski, Jukka Corander:
Labeled Directed Acyclic Graphs: a generalization of context-specific independence in directed graphical models. CoRR abs/1310.1187 (2013)
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