default search action
Petri Myllymäki
Person information
- affiliation: University of Helsinki, Finland
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2010 – 2019
- 2018
- [j23]Brandon M. Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, Petri Myllymäki:
Empirical hardness of finding optimal Bayesian network structures: algorithm selection and runtime prediction. Mach. Learn. 107(1): 247-283 (2018) - [j22]Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Patrik Floréen, Petri Myllymäki, Giulio Jacucci, Samuel Kaski:
Interactive Intent Modeling for Exploratory Search. ACM Trans. Inf. Syst. 36(4): 44:1-44:46 (2018) - [c55]Chang Rajani, Arto Klami, Ari Salmi, Timo Rauhala, Edward Hæggström, Petri Myllymäki:
Detecting Industrial fouling by monotonicity during ultrasonic Cleaning. MLSP 2018: 1-6 - 2017
- [j21]Niklas Jahnsson, Brandon M. Malone, Petri Myllymäki:
Duplicate Detection for Bayesian Network Structure Learning. New Gener. Comput. 35(1): 47-67 (2017) - [i8]Brandon M. Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, Petri Myllymäki:
AS-ASL: Algorithm Selection with Auto-sklearn. OASC 2017: 19-22 - 2015
- [j20]Ralf Eggeling, Teemu Roos, Petri Myllymäki, Ivo Grosse:
Inferring intra-motif dependencies of DNA binding sites from ChIP-seq data. BMC Bioinform. 16: 375:1-375:15 (2015) - [j19]Tuukka Ruotsalo, Giulio Jacucci, Petri Myllymäki, Samuel Kaski:
Interactive intent modeling: information discovery beyond search. Commun. ACM 58(1): 86-92 (2015) - [c54]Niklas Jahnsson, Brandon M. Malone, Petri Myllymäki:
Hashing-Based Hybrid Duplicate Detection for Bayesian Network Structure Learning. AMBN@JSAI-isAI 2015: 46-60 - [c53]Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Aki Reijonen, Giulio Jacucci, Petri Myllymäki, Samuel Kaski:
SciNet: Interactive Intent Modeling for Information Discovery. SIGIR 2015: 1043-1044 - [c52]Brandon M. Malone, Matti Järvisalo, Petri Myllymäki:
Impact of Learning Strategies on the Quality of Bayesian Networks: An Empirical Evaluation. UAI 2015: 562-571 - 2014
- [j18]Ehsan Khoramshahi, Eija Honkavaara, Juha Hyyppä, Petri Myllymäki:
Passive Localization of a Robot Using Multiple-View Geometry. Int. J. Robotics Appl. Technol. 2(2): 20-36 (2014) - [c51]Kerstin Bunte, Matti Järvisalo, Jeremias Berg, Petri Myllymäki, Jaakko Peltonen, Samuel Kaski:
Optimal Neighborhood Preserving Visualization by Maximum Satisfiability. AAAI 2014: 1694-1700 - [c50]Brandon M. Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, Petri Myllymäki:
Predicting the Hardness of Learning Bayesian Networks. AAAI 2014: 2460-2466 - [c49]Ralf Eggeling, Teemu Roos, Petri Myllymäki, Ivo Grosse:
Robust learning of inhomogeneous PMMs. AISTATS 2014: 229-237 - [c48]Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Aki Reijonen, Giulio Jacucci, Petri Myllymäki, Samuel Kaski:
Intentradar: search user interface that anticipates user's search intents. CHI Extended Abstracts 2014: 455-458 - 2013
- [c47]Kazuho Watanabe, Teemu Roos, Petri Myllymäki:
Achievability of Asymptotic Minimax Regret in Online and Batch Prediction. ACML 2013: 181-196 - [c46]Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Ksenia Konyushkova, Kumaripaba Athukorala, Ilkka Kosunen, Aki Reijonen, Petri Myllymäki, Giulio Jacucci, Samuel Kaski:
Directing exploratory search with interactive intent modeling. CIKM 2013: 1759-1764 - [i7]Petri Kontkanen, Petri Myllymäki, Henry Tirri:
Classifier Learning with Supervised Marginal Likelihood. CoRR abs/1301.2284 (2013) - [i6]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
On Supervised Selection of Bayesian Networks. CoRR abs/1301.6710 (2013) - [i5]Peter Grünwald, Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
Minimum Encoding Approaches for Predictive Modeling. CoRR abs/1301.7378 (2013) - 2012
- [j17]Teemu Roos, Petri Myllymäki, Tommi S. Jaakkola:
Special Issue on the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010). Int. J. Approx. Reason. 53(9): 1303-1304 (2012) - [j16]Jukka Perkiö, Antti J. Tuominen, Taneli Vähäkangas, Petri Myllymäki:
Image similarity: from syntax to weak semantics. Multim. Tools Appl. 57(1): 5-27 (2012) - [c45]Antti Oulasvirta, Aurora Pihlajamaa, Jukka Perkiö, Debarshi Ray, Taneli Vähäkangas, Tero Hasu, Niklas Vainio, Petri Myllymäki:
Long-term effects of ubiquitous surveillance in the home. UbiComp 2012: 41-50 - [c44]Sourav Bhattacharya, Patrik Floréen, Andreas Forsblom, Samuli Hemminki, Petri Myllymäki, Petteri Nurmi, Teemu Pulkkinen, Antti Salovaara:
Ma$$iv€ - An Intelligent Mobile Grocery Assistant. Intelligent Environments 2012: 165-172 - [i4]Tomi Silander, Petri Kontkanen, Petri Myllymäki:
On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter. CoRR abs/1206.5293 (2012) - [i3]Tomi Silander, Petri Myllymäki:
A simple approach for finding the globally optimal Bayesian network structure. CoRR abs/1206.6875 (2012) - [i2]David A. McAllester, Petri Myllymäki:
Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (2008). CoRR abs/1208.5154 (2012) - 2011
- [j15]Alexandra M. Carvalho, Teemu Roos, Arlindo L. Oliveira, Petri Myllymäki:
Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood. J. Mach. Learn. Res. 12: 2181-2210 (2011) - [c43]Teemu Pulkkinen, Teemu Roos, Petri Myllymäki:
Semi-supervised Learning for WLAN Positioning. ICANN (1) 2011: 355-362 - 2010
- [j14]Tomi Silander, Teemu Roos, Petri Myllymäki:
Learning locally minimax optimal Bayesian networks. Int. J. Approx. Reason. 51(5): 544-557 (2010) - [j13]Jorma Rissanen, Teemu Roos, Petri Myllymäki:
Model selection by sequentially normalized least squares. J. Multivar. Anal. 101(4): 839-849 (2010)
2000 – 2009
- 2009
- [j12]Teemu Roos, Petri Myllymäki, Jorma Rissanen:
MDL denoising revisited. IEEE Trans. Signal Process. 57(9): 3347-3360 (2009) - [c42]Jukka Perkiö, Petri Myllymäki:
Magrathea: Building and Analyzing Ubiquitous and Social Systems. Web Intelligence 2009: 66-75 - [c41]Tomi Silander, Teemu Roos, Petri Myllymäki:
Locally Minimax Optimal Predictive Modeling with Bayesian Networks. AISTATS 2009: 504-511 - 2008
- [c40]Jukka Perkiö, Petri Myllymäki, Ville H. Tuulos, Péter Boda:
Magrathea: A Mobile Agent- and Sensing Platform. ICWN 2008: 494-500 - [c39]Tommi Mononen, Petri Myllymäki:
On the Multinomial Stochastic Complexity and its Connection to the Birthday Problem. ITSL 2008: 17-22 - [c38]Petri Kontkanen, Petri Myllymäki:
An Empirical Comparison of NML Clustering Algorithms. ITSL 2008: 125-131 - [c37]Tommi Mononen, Petri Myllymäki:
Computing the NML for Bayesian forests via matrices and generating polynomials. ITW 2008: 276-280 - [e1]David A. McAllester, Petri Myllymäki:
UAI 2008, Proceedings of the 24th Conference in Uncertainty in Artificial Intelligence, Helsinki, Finland, July 9-12, 2008. AUAI Press 2008, ISBN 0-9749039-4-9 [contents] - 2007
- [j11]Petri Kontkanen, Hannes Wettig, Petri Myllymäki:
NML Computation Algorithms for Tree-Structured Multinomial Bayesian Networks. EURASIP J. Bioinform. Syst. Biol. 2007 (2007) - [j10]Jorma Rissanen, Peter D. Grünwald, Jukka Heikkonen, Petri Myllymäki, Teemu Roos, Juho Rousu:
Information Theoretic Methods for Bioinformatics. EURASIP J. Bioinform. Syst. Biol. 2007 (2007) - [j9]Petri Kontkanen, Petri Myllymäki:
A linear-time algorithm for computing the multinomial stochastic complexity. Inf. Process. Lett. 103(6): 227-233 (2007) - [c36]Tommi Mononen, Petri Myllymäki:
Fast NML Computation for Naive Bayes Models. Discovery Science 2007: 151-160 - [c35]Tomi Silander, Petri Kontkanen, Petri Myllymäki:
On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter. UAI 2007: 360-367 - [c34]Petri Kontkanen, Petri Myllymäki:
MDL Histogram Density Estimation. AISTATS 2007: 219-226 - 2006
- [c33]Teemu Roos, Tuomas Heikkilä, Petri Myllymäki:
A Compression-Based Method for Stemmatic Analysis. ECAI 2006: 805-806 - [c32]Tomi Silander, Petri Myllymäki:
A Simple Approach for Finding the Globally Optimal Bayesian Network Structure. UAI 2006 - [i1]Teemu Roos, Petri Myllymäki, Jorma Rissanen:
MDL Denoising Revisited. CoRR abs/cs/0609138 (2006) - 2005
- [j8]Teemu Roos, Hannes Wettig, Peter Grünwald, Petri Myllymäki, Henry Tirri:
On Discriminative Bayesian Network Classifiers and Logistic Regression. Mach. Learn. 59(3): 267-296 (2005) - [c31]Teemu Roos, Petri Myllymäki, Henry Tirri:
On the Behavior of MDL Denoising. AISTATS 2005: 309-316 - [c30]Teemu Roos, Peter Grünwald, Petri Myllymäki, Henry Tirri:
Generalization to Unseen Cases. BNAIC 2005: 194-201 - [c29]Petri Kontkanen, Petri Myllymäki:
A Fast Normalized Maximum Likelihood Algorithm for Multinomial Data. IJCAI 2005: 1613-1615 - [c28]Teemu Roos, Peter Grünwald, Petri Myllymäki, Henry Tirri:
Generalization to Unseen Cases. NIPS 2005: 1129-1136 - 2004
- [c27]Petri Kontkanen, Petri Myllymäki, Teemu Roos, Henry Tirri, Kimmo Valtonen, Hannes Wettig:
Topics in probabilistic location estimation in wireless networks. PIMRC 2004: 1052-1056 - 2003
- [c26]Petri Kontkanen, Wray L. Buntine, Petri Myllymäki, Jorma Rissanen, Henry Tirri:
Efficient Computing of Stochastic Complexity. AISTATS 2003: 171-178 - [c25]Hannes Wettig, Peter Grünwald, Teemu Roos, Petri Myllymäki, Henry Tirri:
When Discriminative Learning of Bayesian Network Parameters Is Easy. IJCAI 2003: 491-498 - [c24]Hannes Wettig, Jussi Lahtinen, Tuomas Lepola, Petri Myllymäki, Henry Tirri:
Bayesian Analysis of Online Newspaper Log Data. SAINT Workshops 2003: 282-287 - 2002
- [j7]Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen:
B-Course: A Web-Based Tool for Bayesian and Causal Data Analysis. Int. J. Artif. Intell. Tools 11(3): 369-387 (2002) - [j6]Teemu Roos, Petri Myllymäki, Henry Tirri, Pauli Misikangas, Juha Sievänen:
A Probabilistic Approach to WLAN User Location Estimation. Int. J. Wirel. Inf. Networks 9(3): 155-164 (2002) - [j5]Teemu Roos, Petri Myllymäki, Henry Tirri:
A Statistical Modeling Approach to Location Estimation. IEEE Trans. Mob. Comput. 1(1): 59-69 (2002) - 2001
- [c23]Petri Kontkanen, Petri Myllymäki, Henry Tirri:
Comparing Prequential Model Selection Criteria in Supervised Learning of Mixture Models. AISTATS 2001: 156-161 - [c22]Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen:
Bayesian Data Mining on the Web with B-Course. ICDM 2001: 626-629 - [c21]Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen:
B-Course: A Web Service for Bayesian Data Analysis. ICTAI 2001: 247-256 - [c20]Petri Kontkanen, Petri Myllymäki, Henry Tirri:
Classifier Learning with Supervised Marginal Likelihood. UAI 2001: 277-284 - 2000
- [j4]Petri Kontkanen, Jussi Lahtinen, Petri Myllymäki, Tomi Silander, Henry Tirri:
Supervised model-based visualization of high-dimensional data. Intell. Data Anal. 4(3-4): 213-227 (2000) - [j3]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald:
On predictive distributions and Bayesian networks. Stat. Comput. 10(1): 39-54 (2000) - [c19]Petri Kontkanen, Jussi Lahtinen, Petri Myllymäki, Henry Tirri:
An Unsupervised Bayesian Distance Measure. EWCBR 2000: 148-160 - [c18]Petri Kontkanen, Jussi Lahtinen, Petri Myllymäki, Henry Tirri:
Unsupervised Bayesian visualization of high-dimensional data. KDD 2000: 325-329
1990 – 1999
- 1999
- [j2]Petri Myllymäki:
Massively Parallel Probabilistic Reasoning with Boltzmann Machines. Appl. Intell. 11(1): 31-44 (1999) - [c17]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
Exploring the robustness of Bayesian and information-theoretic methods for predictive inference. AISTATS 1999 - [c16]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
On Supervised Selection of Bayesian Networks. UAI 1999: 334-342 - 1998
- [c15]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
Bayes Optimal Instance-Based Learning. ECML 1998: 77-88 - [c14]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald:
Bayesian and Information-Theories Priors for Bayesian Network Parameters. ECML 1998: 89-94 - [c13]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
Batch Classification with Discrete Finite Mixtures. ECML 1998: 208-213 - [c12]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
On Bayesian Case Matching. EWCBR 1998: 13-24 - [c11]Esa Koskimäki, Janne Göös, Petri Kontkanen, Petri Myllymäki, Henry Tirri:
Comparing Soft Computing Methods in Prediction of Manufacturing Data. IEA/AIE (Vol. 2) 1998: 775-784 - [c10]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
BAYDA: Software for Bayesian Classification and Feature Selection. KDD 1998: 254-258 - [c9]Peter Grünwald, Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
Minimum Encoding Approaches for Predictive Modeling. UAI 1998: 183-192 - 1997
- [c8]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald:
Comparing Predictive Inference Methods for Discrete Domains. AISTATS 1997: 311-318 - 1996
- [c7]Henry Tirri, Petri Kontkanen, Petri Myllymäki:
A Bayesian Framework for Case-Based Reasoning. EWCBR 1996: 413-427 - [c6]Henry Tirri, Petri Kontkanen, Petri Myllymäki:
Prababilistic Instance-Based Learning. ICML 1996: 507-515 - [c5]Petri Kontkanen, Petri Myllymäki, Henry Tirri:
Predictive Data Mining with Finite Mixtures. KDD 1996: 176-182 - 1993
- [c4]Petri Myllymäki, Henry Tirri:
Massively Parallel Case-Based Reasoning with Probabilistic Similarity Metrics. EWCBR 1993: 144-154 - [c3]Petri Myllymäki, Henry Tirri:
Bayesian case-based reasoning with neural networks. ICNN 1993: 422-427 - 1990
- [j1]Patrik Floréen, Petri Myllymäki, Pekka Orponen, Henry Tirri:
Compiling Object Declarations into Connectionist Networks. AI Commun. 3(4): 172-183 (1990) - [c2]Henry Tirri, Petri Myllymäki, Pekka Orponen, Patrik Floréen:
Programming Methods for Neural Computing. Dagstuhl Seminar on Parallelization in Inference Systems 1990: 357 - [c1]Pekka Orponen, Patrik Floréen, Petri Myllymäki, Henry Tirri:
A neural implementation of conceptual hierarchies with Bayesian reasoning. IJCNN 1990: 297-303
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-05 21:20 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint