Mikko Koivisto

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	すべて	2020 年以来
引用	3691	1265
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Petteri KaskiAssistant Professor of Computer Science, Aalto University確認したメールアドレス: aalto.fi
Thore HusfeldtIT University of Copenhagen確認したメールアドレス: itu.dk
Pekka ParviainenDepartment of Informatics, University of Bergen確認したメールアドレス: uib.no
Jesper NederlofUtrecht University確認したメールアドレス: uu.nl
Matti JärvisaloProfessor of Computer Science, University of Helsinki確認したメールアドレス: helsinki.fi
Markus Perolaresearch professor確認したメールアドレス: thl.fi
Per AustrinAssociate Professor in Computer Science, KTH Royal Institute of Technology確認したメールアドレス: kth.se
Pasi RastasStaff Scientist, University of Helsinki, Institute of Biotechnology確認したメールアドレス: helsinki.fi
Jesper EkelundProfessor. Head of psychiatry Helsinki and Uusimaa hospital district.確認したメールアドレス: helsinki.fi
Petri MyllymakiProfessor of Computer Science, University of Helsinki確認したメールアドレス: helsinki.fi
Janne H. KorhonenIST Austria確認したメールアドレス: ist.ac.at
Ivo GrosseProfessor of Bioinformatics, Martin Luther University Halle-Wittenberg確認したメールアドレス: informatik.uni-halle.de
Dieter Kratschprofesseur d'informatique, Universite de Lorraine確認したメールアドレス: univ-lorraine.fr
Yoshio OkamotoUniversity of Electro-Communications確認したメールアドレス: uec.ac.jp
Richard Ryan WilliamsMIT確認したメールアドレス: mit.edu
Lukasz KowalikUniversity of Warsaw確認したメールアドレス: mimuw.edu.pl
Fedor V. FominProfessor of Computer Science, University of Bergen確認したメールアドレス: uib.no
Johan M. M. van RooijUtrecht University (20%) and Valcon (80%)確認したメールアドレス: uu.nl
Serge GaspersProfessor, UNSW Sydney, Australia確認したメールアドレス: cse.unsw.edu.au
Mathieu LiedloffProfesseur des Universités, université d'Orléans確認したメールアドレス: univ-orleans.fr

フォロー

Mikko Koivisto

Professor, University of Helsinki

確認したメールアドレス: helsinki.fi

Algorithms Artificial Intelligence Computational Statistics Machine Learning #UnivHelsinkiCS


タイトル引用回数順公開年順タイトル順	引用先引用先	年
Exact Bayesian structure discovery in Bayesian networks M Koivisto, K Sood Journal of Machine Learning Research 5 (May), 549-573, 2004	585	2004
Set partitioning via inclusion-exclusion A Björklund, T Husfeldt, M Koivisto SIAM Journal on Computing 39 (2), 546-563, 2009	470	2009
Fourier meets Möbius: fast subset convolution A Björklund, T Husfeldt, P Kaski, M Koivisto Proceedings of the thirty-ninth annual ACM symposium on Theory of computing …, 2007	400	2007
Narrow sieves for parameterized paths and packings A Björklund, T Husfeldt, P Kaski, M Koivisto Journal of Computer and System Sciences 87, 119-139, 2017	169	2017
The traveling salesman problem in bounded degree graphs A Björklund, T Husfeldt, P Kaski, M Koivisto ACM Transactions on Algorithms (TALG) 8 (2), 1-13, 2012	121*	2012
Advances in exact Bayesian structure discovery in Bayesian networks M Koivisto arXiv preprint arXiv:1206.6828, 2012	111	2012
An MDL method for finding haplotype blocks and for estimating the strength of haplotype block boundaries M Koivisto, M Perola, T Varilo, W Hennah, J Ekelund, M Lukk, L Peltonen, ... Biocomputing 2003, 502-513, 2002	104	2002
Computing the Tutte polynomial in vertex-exponential time A Björklund, T Husfeldt, P Kaski, M Koivisto 2008 49th Annual IEEE Symposium on Foundations of Computer Science, 677-686, 2008	96	2008
An O*(2^ n) Algorithm for Graph Coloring and Other Partitioning Problems via Inclusion--Exclusion M Koivisto 2006 47th Annual IEEE Symposium on Foundations of Computer Science (FOCS'06 …, 2006	95	2006
Exact structure discovery in Bayesian networks with less space P Parviainen, M Koivisto arXiv preprint arXiv:1205.2620, 2012	82	2012
Trimmed Moebius inversion and graphs of bounded degree A Björklund, T Husfeldt, P Kaski, M Koivisto Theory of Computing Systems 47 (3), 637-654, 2010	70	2010
Mixture model clustering of phenotype features reveals evidence for association of DTNBP1 to a specific subtype of schizophrenia J Wessman, T Paunio, A Tuulio-Henriksson, M Koivisto, T Partonen, ... Biological psychiatry 66 (11), 990-996, 2009	66	2009
Counting paths and packings in halves A Björklund, T Husfeldt, P Kaski, M Koivisto European Symposium on Algorithms, 578-586, 2009	58	2009
Structure discovery in Bayesian networks by sampling partial orders T Niinim, P Parviainen, M Koivisto Journal of Machine Learning Research 17 (57), 1-47, 2016	56	2016
Partial order MCMC for structure discovery in Bayesian networks T Niinimaki, P Parviainen, M Koivisto arXiv preprint arXiv:1202.3753, 2012	49	2012
Towards scalable bayesian learning of causal dags J Viinikka, A Hyttinen, J Pensar, M Koivisto Advances in Neural Information Processing Systems 33, 6584-6594, 2020	46	2020
A hidden Markov technique for haplotype reconstruction P Rastas, M Koivisto, H Mannila, E Ukkonen Algorithms in Bioinformatics: 5th International Workshop, WABI 2005 …, 2005	44	2005
Empirical hardness of finding optimal Bayesian network structures: algorithm selection and runtime prediction B Malone, K Kangas, M Järvisalo, M Koivisto, P Myllymäki Machine Learning 107, 247-283, 2018	39	2018
Dense subset sum may be the hardest P Austrin, M Koivisto, P Kaski, J Nederlof arXiv preprint arXiv:1508.06019, 2015	39	2015
Fast zeta transforms for lattices with few irreducibles A Björklund, T Husfeldt, P Kaski, M Koivisto, J Nederlof, P Parviainen ACM Transactions on Algorithms (TALG) 12 (1), 1-19, 2015	37	2015

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