Petri Myllymäki

Publication Activity (10 Years)

Years Active: 1990-2018
Publications (10 Years): 5

Top Topics

Duplicate Detection

Information Discovery

Structure Learning

Top Venues

ACM Trans. Inf. Syst.

Publications

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) (2018)
Chang Rajani, Arto Klami, Ari Salmi, Timo Rauhala, Edward Hæggström, Petri Myllymäki
Detecting Industrial fouling by monotonicity during ultrasonic Cleaning. MLSP (2018)
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) (2018)
Brandon M. Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, Petri Myllymäki
AS-ASL: Algorithm Selection with Auto-sklearn. OASC (2017)
Niklas Jahnsson, Brandon M. Malone, Petri Myllymäki
Duplicate Detection for Bayesian Network Structure Learning. New Gener. Comput. 35 (1) (2017)
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)
Niklas Jahnsson, Brandon M. Malone, Petri Myllymäki
Hashing-Based Hybrid Duplicate Detection for Bayesian Network Structure Learning. AMBN@JSAI-isAI (2015)
Ralf Eggeling, Teemu Roos, Petri Myllymäki, Ivo Grosse
Inferring intra-motif dependencies of DNA binding sites from ChIP-seq data. BMC Bioinform. 16 (2015)
Brandon M. Malone, Matti Järvisalo, Petri Myllymäki
Impact of Learning Strategies on the Quality of Bayesian Networks: An Empirical Evaluation. UAI (2015)
Tuukka Ruotsalo, Giulio Jacucci, Petri Myllymäki, Samuel Kaski
Interactive intent modeling: information discovery beyond search. Commun. ACM 58 (1) (2015)
Brandon M. Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, Petri Myllymäki
Predicting the Hardness of Learning Bayesian Networks. AAAI (2014)
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)
Ralf Eggeling, Teemu Roos, Petri Myllymäki, Ivo Grosse
Robust learning of inhomogeneous PMMs. AISTATS (2014)
Kerstin Bunte, Matti Järvisalo, Jeremias Berg, Petri Myllymäki, Jaakko Peltonen, Samuel Kaski
Optimal Neighborhood Preserving Visualization by Maximum Satisfiability. AAAI (2014)
Ehsan Khoramshahi, Eija Honkavaara, Juha Hyyppä, Petri Myllymäki
Passive Localization of a Robot Using Multiple-View Geometry. Int. J. Robotics Appl. Technol. 2 (2) (2014)
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)
Kazuho Watanabe, Teemu Roos, Petri Myllymäki
Achievability of Asymptotic Minimax Regret in Online and Batch Prediction. ACML (2013)
Peter Grünwald, Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
Minimum Encoding Approaches for Predictive Modeling CoRR (2013)
Petri Kontkanen, Petri Myllymäki, Henry Tirri
Classifier Learning with Supervised Marginal Likelihood CoRR (2013)
Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
On Supervised Selection of Bayesian Networks CoRR (2013)
David A. McAllester, Petri Myllymäki
Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (2008) CoRR (2012)
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)
Tomi Silander, Petri Kontkanen, Petri Myllymäki
On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter CoRR (2012)
Tomi Silander, Petri Myllymäki
A simple approach for finding the globally optimal Bayesian network structure. CoRR (2012)
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) (2012)
Jukka Perkiö, Antti J. Tuominen, Taneli Vähäkangas, Petri Myllymäki
Image similarity: from syntax to weak semantics. Multim. Tools Appl. 57 (1) (2012)
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)
Teemu Pulkkinen, Teemu Roos, Petri Myllymäki
Semi-supervised Learning for WLAN Positioning. ICANN (1) (2011)
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 (2011)
Tomi Silander, Teemu Roos, Petri Myllymäki
Learning locally minimax optimal Bayesian networks. Int. J. Approx. Reason. 51 (5) (2010)
Jorma Rissanen, Teemu Roos, Petri Myllymäki
Model selection by sequentially normalized least squares. J. Multivar. Anal. 101 (4) (2010)
Tomi Silander, Teemu Roos, Petri Myllymäki
Locally Minimax Optimal Predictive Modeling with Bayesian Networks. AISTATS (2009)
Teemu Roos, Petri Myllymäki, Jorma Rissanen
MDL denoising revisited. IEEE Trans. Signal Process. 57 (9) (2009)
Jukka Perkiö, Petri Myllymäki
Magrathea: Building and Analyzing Ubiquitous and Social Systems. Web Intelligence (2009)
Jukka Perkiö, Petri Myllymäki, Ville H. Tuulos, Péter Boda
Magrathea: A Mobile Agent- and Sensing Platform. ICWN (2008)
Petri Kontkanen, Petri Myllymäki
An Empirical Comparison of NML Clustering Algorithms. ITSL (2008)
Tommi Mononen, Petri Myllymäki
On the Multinomial Stochastic Complexity and its Connection to the Birthday Problem. ITSL (2008)
Tommi Mononen, Petri Myllymäki
Computing the NML for Bayesian forests via matrices and generating polynomials. ITW (2008)
Tommi Mononen, Petri Myllymäki
Fast NML Computation for Naive Bayes Models. Discovery Science (2007)
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)
Tomi Silander, Petri Kontkanen, Petri Myllymäki
On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter. UAI (2007)
Petri Kontkanen, Petri Myllymäki
MDL Histogram Density Estimation. AISTATS (2007)
Petri Kontkanen, Petri Myllymäki
A linear-time algorithm for computing the multinomial stochastic complexity. Inf. Process. Lett. 103 (6) (2007)
Petri Kontkanen, Hannes Wettig, Petri Myllymäki
NML Computation Algorithms for Tree-Structured Multinomial Bayesian Networks. EURASIP J. Bioinform. Syst. Biol. 2007 (2007)
Tomi Silander, Petri Myllymäki
A Simple Approach for Finding the Globally Optimal Bayesian Network Structure. UAI (2006)
Teemu Roos, Tuomas Heikkilä, Petri Myllymäki
A Compression-Based Method for Stemmatic Analysis. ECAI (2006)
Teemu Roos, Petri Myllymäki, Jorma Rissanen
MDL Denoising Revisited CoRR (2006)
Petri Kontkanen, Petri Myllymäki
A Fast Normalized Maximum Likelihood Algorithm for Multinomial Data. IJCAI (2005)
Teemu Roos, Peter Grünwald, Petri Myllymäki, Henry Tirri
Generalization to Unseen Cases. NIPS (2005)
Teemu Roos, Petri Myllymäki, Henry Tirri
On the Behavior of MDL Denoising. AISTATS (2005)
Teemu Roos, Hannes Wettig, Peter Grünwald, Petri Myllymäki, Henry Tirri
On Discriminative Bayesian Network Classifiers and Logistic Regression. Mach. Learn. 59 (3) (2005)
Teemu Roos, Peter Grünwald, Petri Myllymäki, Henry Tirri
Generalization to Unseen Cases. BNAIC (2005)
Petri Kontkanen, Petri Myllymäki, Teemu Roos, Henry Tirri, Kimmo Valtonen, Hannes Wettig
Topics in probabilistic location estimation in wireless networks. PIMRC (2004)
Hannes Wettig, Jussi Lahtinen, Tuomas Lepola, Petri Myllymäki, Henry Tirri
Bayesian Analysis of Online Newspaper Log Data. SAINT Workshops (2003)
Petri Kontkanen, Wray L. Buntine, Petri Myllymäki, Jorma Rissanen, Henry Tirri
Efficient Computing of Stochastic Complexity. AISTATS (2003)
Hannes Wettig, Peter Grünwald, Teemu Roos, Petri Myllymäki, Henry Tirri
When Discriminative Learning of Bayesian Network Parameters Is Easy. IJCAI (2003)
Teemu Roos, Petri Myllymäki, Henry Tirri
A Statistical Modeling Approach to Location Estimation. IEEE Trans. Mob. Comput. 1 (1) (2002)
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) (2002)
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) (2002)
Petri Kontkanen, Petri Myllymäki, Henry Tirri
Classifier Learning with Supervised Marginal Likelihood. UAI (2001)
Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen
B-Course: A Web Service for Bayesian Data Analysis. ICTAI (2001)
Petri Kontkanen, Petri Myllymäki, Henry Tirri
Comparing Prequential Model Selection Criteria in Supervised Learning of Mixture Models. AISTATS (2001)
Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen
Bayesian Data Mining on the Web with B-Course. ICDM (2001)
Petri Kontkanen, Jussi Lahtinen, Petri Myllymäki, Henry Tirri
An Unsupervised Bayesian Distance Measure. EWCBR (2000)
Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald
On predictive distributions and Bayesian networks. Stat. Comput. 10 (1) (2000)
Petri Kontkanen, Jussi Lahtinen, Petri Myllymäki, Tomi Silander, Henry Tirri
Supervised model-based visualization of high-dimensional data. Intell. Data Anal. 4 (3-4) (2000)
Petri Kontkanen, Jussi Lahtinen, Petri Myllymäki, Henry Tirri
Unsupervised Bayesian visualization of high-dimensional data. KDD (2000)
Petri Myllymäki
Massively Parallel Probabilistic Reasoning with Boltzmann Machines. Appl. Intell. 11 (1) (1999)
Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
Exploring the robustness of Bayesian and information-theoretic methods for predictive inference. AISTATS (1999)
Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
On Supervised Selection of Bayesian Networks. UAI (1999)
Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
BAYDA: Software for Bayesian Classification and Feature Selection. KDD (1998)
Esa Koskimäki, Janne Göös, Petri Kontkanen, Petri Myllymäki, Henry Tirri
Comparing Soft Computing Methods in Prediction of Manufacturing Data. IEA/AIE (Vol. 2) (1998)
Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
Batch Classification with Discrete Finite Mixtures. ECML (1998)
Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald
Bayesian and Information-Theories Priors for Bayesian Network Parameters. ECML (1998)
Peter Grünwald, Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
Minimum Encoding Approaches for Predictive Modeling. UAI (1998)
Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
On Bayesian Case Matching. EWCBR (1998)
Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
Bayes Optimal Instance-Based Learning. ECML (1998)
Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald
Comparing Predictive Inference Methods for Discrete Domains. AISTATS (1997)
Henry Tirri, Petri Kontkanen, Petri Myllymäki
Prababilistic Instance-Based Learning. ICML (1996)
Petri Kontkanen, Petri Myllymäki, Henry Tirri
Predictive Data Mining with Finite Mixtures. KDD (1996)
Henry Tirri, Petri Kontkanen, Petri Myllymäki
A Bayesian Framework for Case-Based Reasoning. EWCBR (1996)
Petri Myllymäki, Henry Tirri
Bayesian case-based reasoning with neural networks. ICNN (1993)
Petri Myllymäki, Henry Tirri
Massively Parallel Case-Based Reasoning with Probabilistic Similarity Metrics. EWCBR (1993)
Patrik Floréen, Petri Myllymäki, Pekka Orponen, Henry Tirri
Compiling Object Declarations into Connectionist Networks. AI Commun. 3 (4) (1990)
Pekka Orponen, Patrik Floréen, Petri Myllymäki, Henry Tirri
A neural implementation of conceptual hierarchies with Bayesian reasoning. IJCNN (1990)
Henry Tirri, Petri Myllymäki, Pekka Orponen, Patrik Floréen
Programming Methods for Neural Computing. Dagstuhl Seminar on Parallelization in Inference Systems (1990)