Petri Myllymaki

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Teemu RoosProfessor at University of HelsinkiVerified email at helsinki.fi
Peter GrünwaldGroup Leader Machine Learning, CWI; Professor of Statistics, Leiden UniversityVerified email at cwi.nl
Giulio JacucciUniversity of HelsinkiVerified email at helsinki.fi
Tuukka RuotsaloLUT University and University of CopenhagenVerified email at lut.fi
Jaakko PeltonenProfessor, Tampere UniversityVerified email at tuni.fi
Manuel J. A. Eugstermjae.netVerified email at mjae.net
Matti JärvisaloProfessor, University of HelsinkiVerified email at helsinki.fi
Patrik FloréenUniversity of Helsinki and Aalto UniversityVerified email at helsinki.fi
Wray BuntineProfessor, VinUniversityVerified email at vinuni.edu.vn
Pekka OrponenProfessor of Computer Science, Aalto UniversityVerified email at aalto.fi
Mikko KoivistoProfessor, University of HelsinkiVerified email at helsinki.fi
Ivo GrosseProfessor of Bioinformatics, Martin Luther University Halle-WittenbergVerified email at informatik.uni-halle.de
Teemu PulkkinenResearch Scientist, EkahauVerified email at ekahau.com
Antti OulasvirtaProfessor, Aalto UniversityVerified email at aalto.fi
Alexandra M CarvalhoAssistant Professor, Instituto Superior Técnico, Technical University of LisbonVerified email at tecnico.ulisboa.pt
Arlindo L OliveiraDistinguished Professor, Instituto Superior Técnico / INESC-IDVerified email at tecnico.ulisboa.pt
Kerstin BunteRosalind Franklin Fellow at the University of GroningenVerified email at rug.nl
Antti SalovaaraSenior university lecturer, Aalto UniversityVerified email at aalto.fi
Petteri NurmiProfessor of Computer Science, University of HelsinkiVerified email at helsinki.fi
Sourav BhattacharyaSamsung AIVerified email at samsung.com

Petri Myllymaki

Professor of Computer Science, University of Helsinki

Verified email at helsinki.fi - Homepage

Artificial Intelligence Machine Learning Probabilistic Graphical Models #UnivHelsinkiCS


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A probabilistic approach to WLAN user location estimation T Roos, P Myllymäki, H Tirri, P Misikangas, J Sievänen International Journal of Wireless Information Networks 9, 155-164, 2002	1344	2002
A simple approach for finding the globally optimal Bayesian network structure T Silander, P Myllymaki arXiv preprint arXiv:1206.6875, 2012	514	2012
A statistical modeling approach to location estimation T Roos, P Myllymaki, H Tirri IEEE Transactions on Mobile computing 1 (1), 59-69, 2002	479	2002
Location estimation in wireless telecommunication networks P Myllymäki, H Tirri, P Kontkanen, J Lahtinen, T Silander, T Roos, ... US Patent 7,228,136, 2007	370	2007
B-course: A web-based tool for Bayesian and causal data analysis P Myllymäki, T Silander, H Tirri, P Uronen International Journal on Artificial Intelligence Tools 11 (03), 369-387, 2002	248	2002
On discriminative Bayesian network classifiers and logistic regression T Roos, H Wettig, P Grünwald, P Myllymäki, H Tirri Machine Learning 59, 267-296, 2005	166	2005
Interactive intent modeling: Information discovery beyond search T Ruotsalo, G Jacucci, P Myllymäki, S Kaski Communications of the ACM 58 (1), 86-92, 2014	153	2014
Long-term effects of ubiquitous surveillance in the home A Oulasvirta, A Pihlajamaa, J Perkiö, D Ray, T Vähäkangas, T Hasu, ... Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 41-50, 2012	152	2012
On sensitivity of the MAP Bayesian network structure to the equivalent sample size parameter T Silander, P Kontkanen, P Myllymaki arXiv preprint arXiv:1206.5293, 2012	148	2012
A linear-time algorithm for computing the multinomial stochastic complexity P Kontkanen, P Myllymäki Information Processing Letters 103 (6), 227-233, 2007	135	2007
Topics in probabilistic location estimation in wireless networks P Kontkanen, P Myllymaki, T Roos, H Tirri, K Valtonen, H Wettig 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio …, 2004	121	2004
MDL histogram density estimation P Kontkanen, P Myllymäki Artificial intelligence and statistics, 219-226, 2007	117	2007
Error estimate concerning a target device's location operable to move in a wireless environment P Myllymäki, P Kontkanen, T Roos, K Valtonen, J Lahtinen, H Wettig, ... US Patent 7,209,752, 2007	109	2007
Directing exploratory search with interactive intent modeling T Ruotsalo, J Peltonen, M Eugster, D Głowacka, K Konyushkova, ... Proceedings of the 22nd ACM international conference on information …, 2013	95	2013
Sequence-based positioning technique P Misikangas, P Myllymäki US Patent 7,349,683, 2008	94	2008
Semi-supervised learning for wlan positioning T Pulkkinen, T Roos, P Myllymäki Artificial Neural Networks and Machine Learning–ICANN 2011: 21st …, 2011	93	2011
Probabilistic model for a positioning technique P Misikangas, P Myllymäki US Patent 7,196,662, 2007	93	2007
An MDL framework for data clustering P Kontkanen, P Myllymäki, W Buntine, J Rissanen, H Tirri	87	2005
Comparing predictive inference methods for discrete domains P Kontkanen, P Myllymäki, T Silander, H Tirri, P Grünwald Sixth International Workshop on Artificial Intelligence and Statistics, 311-318, 1997	81	1997
Factorized normalized maximum likelihood criterion for learning Bayesian network structures T Silander, T Roos, P Kontkanen, P Myllymäki Proceedings of the 4th European workshop on probabilistic graphical models …, 2008	77	2008

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