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Petri Myllymäki
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- affiliation: University of Helsinki, Finland
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2010 – 2019
- 2018
- [j23]Brandon M. Malone
, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto
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
Interactive Intent Modeling for Exploratory Search. ACM Trans. Inf. Syst. 36(4): 44:1-44:46 (2018) - [c55]Chang Rajani
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
Inferring intra-motif dependencies of DNA binding sites from ChIP-seq data. BMC Bioinform. 16: 375:1-375:15 (2015) - [j19]Tuukka Ruotsalo
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
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
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
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
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
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
Long-term effects of ubiquitous surveillance in the home. UbiComp 2012: 41-50 - [c44]Sourav Bhattacharya, Patrik Floréen
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
Semi-supervised Learning for WLAN Positioning. ICANN (1) 2011: 355-362 - 2010
- [j14]Tomi Silander, Teemu Roos
Learning locally minimax optimal Bayesian networks. Int. J. Approx. Reason. 51(5): 544-557 (2010) - [j13]Jorma Rissanen, Teemu Roos
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
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
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
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