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Jukka Corander

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Timo Koski

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Publications

2022
[i20]
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  - journals/corr/abs-2205-10890
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Jukka Corander, Ulpu Remes, Ida Holopainen, Timo Koski:
Nonparametric likelihood-free inference with Jensen-Shannon divergence for simulator-based models with categorical output. CoRR abs/2205.10890 (2022)
[i19]
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  - journals/corr/abs-2206-04110
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Jukka Corander, Ulpu Remes, Timo Koski:
Likelihood-free Model Choice for Simulator-based Models with the Jensen-Shannon Divergence. CoRR abs/2206.04110 (2022)
2016
[j36]
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  - journals/classification/CuiSKC16
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Yaqiong Cui, Jukka Sirén, Timo Koski, Jukka Corander:
Simultaneous Predictive Gaussian Classifiers. J. Classif. 33(1): 73-102 (2016)
[j34]
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  - journals/cstat/NymanPKC16
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Henrik J. Nyman, Johan Pensar, Timo Koski, Jukka Corander:
Context-specific independence in graphical log-linear models. Comput. Stat. 31(4): 1493-1512 (2016)
2015
[j28]
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  - journals/datamine/PensarNKC15
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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
[j19]
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  - journals/sac/CoranderCKS13
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Jukka Corander, Yaqiong Cui, Timo Koski, Jukka Sirén:
Have I seen you before? Principles of Bayesian predictive classification revisited. Stat. Comput. 23(1): 59-73 (2013)
[i1]
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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)
2012
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  - conf/smps/CoranderKPT12
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Jukka Corander, Timo Koski, Tatjana Pavlenko, Annika Tillander:
Bayesian Block-Diagonal Predictive Classifier for Gaussian Data. SMPS 2012: 543-551
2011
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  - conf/birthday/CoranderCK11
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Jukka Corander, Yaqiong Cui, Timo Koski:
Inductive Inference and Partition Exchangeability in Classification. Algorithmic Probability and Friends 2011: 91-105
2010
[j16]
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  - journals/entropy/CoranderGK10
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Jukka Corander, Mats Gyllenberg, Timo Koski:
Learning Genetic Population Structures Using Minimization of Stochastic Complexity. Entropy 12(5): 1102-1124 (2010)
2009
[j15]
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  - journals/adac/CoranderGK09
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Jukka Corander, Mats Gyllenberg, Timo Koski:
Bayesian unsupervised classification framework based on stochastic partitions of data and a parallel search strategy. Adv. Data Anal. Classif. 3(1): 3-24 (2009)
[j14]
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  - journals/advai/CoranderEK09
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Jukka Corander, Magnus Ekdahl, Timo Koski:
Bayesian Unsupervised Learning of DNA Regulatory Binding Regions. Adv. Artif. Intell. 2009: 219743:1-219743:11 (2009)
2008
[j5]
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  - journals/datamine/CoranderEK08
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Jukka Corander, Magnus Ekdahl, Timo Koski:
Parallell interacting MCMC for learning of topologies of graphical models. Data Min. Knowl. Discov. 17(3): 431-456 (2008)
2006
[j2]
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  - journals/sac/CoranderGK06
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Jukka Corander, Mats Gyllenberg, Timo Koski:
Bayesian model learning based on a parallel MCMC strategy. Stat. Comput. 16(4): 355-362 (2006)

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