Petri Myllymäki

According to our database, Petri Myllymäki authored at least 78 papers between 1990 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2018

Interactive Intent Modeling for Exploratory Search.

Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Patrik Floréen, Petri Myllymäki, Giulio Jacucci, Samuel Kaski

ACM Trans. Inf. Syst., 2018

Empirical hardness of finding optimal Bayesian network structures: algorithm selection and runtime prediction.

Brandon M. Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, Petri Myllymäki

Mach. Learn., 2018

Detecting Industrial fouling by monotonicity during ultrasonic Cleaning.

Chang Rajani, Arto Klami, Ari Salmi, Timo Rauhala, Edward Hæggström, Petri Myllymäki

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

2017

Duplicate Detection for Bayesian Network Structure Learning.

Niklas Jahnsson, Brandon M. Malone, Petri Myllymäki

New Gener. Comput., 2017

AS-ASL: Algorithm Selection with Auto-sklearn.

Brandon M. Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, Petri Myllymäki

Proceedings of the Open Algorithm Selection Challenge 2017, 2017

2015

Interactive intent modeling: information discovery beyond search.

Tuukka Ruotsalo, Giulio Jacucci, Petri Myllymäki, Samuel Kaski

Commun. ACM, 2015

Inferring intra-motif dependencies of DNA binding sites from ChIP-seq data.

Ralf Eggeling, Teemu Roos, Petri Myllymäki, Ivo Grosse

BMC Bioinform., 2015

Impact of Learning Strategies on the Quality of Bayesian Networks: An Empirical Evaluation.

Brandon M. Malone, Matti Järvisalo, Petri Myllymäki

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

SciNet: Interactive Intent Modeling for Information Discovery.

Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Aki Reijonen, Giulio Jacucci, Petri Myllymäki, Samuel Kaski

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Hashing-Based Hybrid Duplicate Detection for Bayesian Network Structure Learning.

Niklas Jahnsson, Brandon M. Malone, Petri Myllymäki

Proceedings of the Advanced Methodologies for Bayesian Networks, 2015

2014

Passive Localization of a Robot Using Multiple-View Geometry.

Ehsan Khoramshahi, Eija Honkavaara, Juha Hyyppä, Petri Myllymäki

Int. J. Robotics Appl. Technol., 2014

Intentradar: search user interface that anticipates user's search intents.

Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Aki Reijonen, Giulio Jacucci, Petri Myllymäki, Samuel Kaski

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

Robust learning of inhomogeneous PMMs.

Ralf Eggeling, Teemu Roos, Petri Myllymäki, Ivo Grosse

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Predicting the Hardness of Learning Bayesian Networks.

Brandon M. Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, Petri Myllymäki

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Optimal Neighborhood Preserving Visualization by Maximum Satisfiability.

Kerstin Bunte, Matti Järvisalo, Jeremias Berg, Petri Myllymäki, Jaakko Peltonen, Samuel Kaski

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Directing exploratory search with interactive intent modeling.

Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Ksenia Konyushkova, Kumaripaba Athukorala, Ilkka Kosunen, Aki Reijonen, Petri Myllymäki, Giulio Jacucci, Samuel Kaski

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Achievability of Asymptotic Minimax Regret in Online and Batch Prediction.

Kazuho Watanabe, Teemu Roos, Petri Myllymäki

Proceedings of the Asian Conference on Machine Learning, 2013

2012

Image similarity: from syntax to weak semantics.

Jukka Perkiö, Antti J. Tuominen, Taneli Vähäkangas, Petri Myllymäki

Multim. Tools Appl., 2012

Special Issue on the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010).

Teemu Roos, Petri Myllymäki, Tommi S. Jaakkola

Int. J. Approx. Reason., 2012

Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (2008)

David A. McAllester, Petri Myllymäki

CoRR, 2012

Ma$$iv€ - An Intelligent Mobile Grocery Assistant.

Sourav Bhattacharya, Patrik Floréen, Andreas Forsblom, Samuli Hemminki, Petri Myllymäki, Petteri Nurmi, Teemu Pulkkinen, Antti Salovaara

Proceedings of the 2012 Eighth International Conference on Intelligent Environments, 2012

Long-term effects of ubiquitous surveillance in the home.

Antti Oulasvirta, Aurora Pihlajamaa, Jukka Perkiö, Debarshi Ray, Taneli Vähäkangas, Tero Hasu, Niklas Vainio, Petri Myllymäki

Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

2011

Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood.

Alexandra M. Carvalho, Teemu Roos, Arlindo L. Oliveira, Petri Myllymäki

J. Mach. Learn. Res., 2011

Semi-supervised Learning for WLAN Positioning.

Teemu Pulkkinen, Teemu Roos, Petri Myllymäki

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010

Model selection by sequentially normalized least squares.

Jorma Rissanen, Teemu Roos, Petri Myllymäki

J. Multivar. Anal., 2010

Learning locally minimax optimal Bayesian networks.

Tomi Silander, Teemu Roos, Petri Myllymäki

Int. J. Approx. Reason., 2010

2009

MDL denoising revisited.

Teemu Roos, Petri Myllymäki, Jorma Rissanen

IEEE Trans. Signal Process., 2009

Locally Minimax Optimal Predictive Modeling with Bayesian Networks.

Tomi Silander, Teemu Roos, Petri Myllymäki

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Magrathea: Building and Analyzing Ubiquitous and Social Systems.

Jukka Perkiö, Petri Myllymäki

Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

2008

Computing the NML for Bayesian forests via matrices and generating polynomials.

Tommi Mononen, Petri Myllymäki

Proceedings of the 2008 IEEE Information Theory Workshop, 2008

On the Multinomial Stochastic Complexity and its Connection to the Birthday Problem.

Tommi Mononen, Petri Myllymäki

Proceedings of the 2008 International Conference on Information Theory and Statistical Learning, 2008

An Empirical Comparison of NML Clustering Algorithms.

Petri Kontkanen, Petri Myllymäki

Proceedings of the 2008 International Conference on Information Theory and Statistical Learning, 2008

Magrathea: A Mobile Agent- and Sensing Platform.

Jukka Perkiö, Petri Myllymäki, Ville H. Tuulos, Péter Boda

Proceedings of the 2008 International Conference on Wireless Networks, 2008

2007

MDL Histogram Density Estimation.

Petri Kontkanen, Petri Myllymäki

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

A linear-time algorithm for computing the multinomial stochastic complexity.

Petri Kontkanen, Petri Myllymäki

Inf. Process. Lett., 2007

Information Theoretic Methods for Bioinformatics.

Jorma Rissanen, Peter D. Grünwald, Jukka Heikkonen, Petri Myllymäki, Teemu Roos, Juho Rousu

EURASIP J. Bioinform. Syst. Biol., 2007

NML Computation Algorithms for Tree-Structured Multinomial Bayesian Networks.

Petri Kontkanen, Hannes Wettig, Petri Myllymäki

EURASIP J. Bioinform. Syst. Biol., 2007

On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter.

Tomi Silander, Petri Kontkanen, Petri Myllymäki

Proceedings of the UAI 2007, 2007

Fast NML Computation for Naive Bayes Models.

Tommi Mononen, Petri Myllymäki

Proceedings of the Discovery Science, 10th International Conference, 2007

2006

A Simple Approach for Finding the Globally Optimal Bayesian Network Structure.

Tomi Silander, Petri Myllymäki

Proceedings of the UAI '06, 2006

A Compression-Based Method for Stemmatic Analysis.

Teemu Roos, Tuomas Heikkilä, Petri Myllymäki

Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

2005

On Discriminative Bayesian Network Classifiers and Logistic Regression.

Teemu Roos, Hannes Wettig, Peter Grünwald, Petri Myllymäki, Henry Tirri

Mach. Learn., 2005

A Fast Normalized Maximum Likelihood Algorithm for Multinomial Data.

Petri Kontkanen, Petri Myllymäki

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Generalization to Unseen Cases.

Teemu Roos, Peter Grünwald, Petri Myllymäki, Henry Tirri

Proceedings of the BNAIC 2005, 2005

On the Behavior of MDL Denoising.

Teemu Roos, Petri Myllymäki, Henry Tirri

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

Topics in probabilistic location estimation in wireless networks.

Petri Kontkanen, Petri Myllymäki, Teemu Roos, Henry Tirri, Kimmo Valtonen, Hannes Wettig

Proceedings of the IEEE 15th International Symposium on Personal, 2004

2003

Bayesian Analysis of Online Newspaper Log Data.

Hannes Wettig, Jussi Lahtinen, Tuomas Lepola, Petri Myllymäki, Henry Tirri

Proceedings of the 2003 Symposium on Applications and the Internet Workshops (SAINT 2003), 27-31 January 2003, 2003

When Discriminative Learning of Bayesian Network Parameters Is Easy.

Hannes Wettig, Peter Grünwald, Teemu Roos, Petri Myllymäki, Henry Tirri

Proceedings of the IJCAI-03, 2003

Efficient Computing of Stochastic Complexity.

Petri Kontkanen, Wray L. Buntine, Petri Myllymäki, Jorma Rissanen, Henry Tirri

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002

A Statistical Modeling Approach to Location Estimation.

Teemu Roos, Petri Myllymäki, Henry Tirri

IEEE Trans. Mob. Comput., 2002

A Probabilistic Approach to WLAN User Location Estimation.

Teemu Roos, Petri Myllymäki, Henry Tirri, Pauli Misikangas, Juha Sievänen

Int. J. Wirel. Inf. Networks, 2002

B-Course: A Web-Based Tool for Bayesian and Causal Data Analysis.

Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen

Int. J. Artif. Intell. Tools, 2002

2001

Classifier Learning with Supervised Marginal Likelihood.

Petri Kontkanen, Petri Myllymäki, Henry Tirri

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

B-Course: A Web Service for Bayesian Data Analysis.

Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen

Proceedings of the 13th IEEE International Conference on Tools with Artificial Intelligence, 2001

Bayesian Data Mining on the Web with B-Course.

Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen

Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Comparing Prequential Model Selection Criteria in Supervised Learning of Mixture Models.

Petri Kontkanen, Petri Myllymäki, Henry Tirri

Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

2000

On predictive distributions and Bayesian networks.

Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald

Stat. Comput., 2000

Supervised model-based visualization of high-dimensional data.

Petri Kontkanen, Jussi Lahtinen, Petri Myllymäki, Tomi Silander, Henry Tirri

Intell. Data Anal., 2000

Unsupervised Bayesian visualization of high-dimensional data.

Petri Kontkanen, Jussi Lahtinen, Petri Myllymäki, Henry Tirri

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

An Unsupervised Bayesian Distance Measure.

Petri Kontkanen, Jussi Lahtinen, Petri Myllymäki, Henry Tirri

Proceedings of the Advances in Case-Based Reasoning, 5th European Workshop, 2000

1999

Massively Parallel Probabilistic Reasoning with Boltzmann Machines.

Petri Myllymäki

Appl. Intell., 1999

On Supervised Selection of Bayesian Networks.

Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Exploring the robustness of Bayesian and information-theoretic methods for predictive inference.

Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri

Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1998

Minimum Encoding Approaches for Predictive Modeling.

Peter Grünwald, Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri

Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

BAYDA: Software for Bayesian Classification and Feature Selection.

Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri

Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

Comparing Soft Computing Methods in Prediction of Manufacturing Data.

Esa Koskimäki, Janne Göös, Petri Kontkanen, Petri Myllymäki, Henry Tirri

Proceedings of the Tasks and Methods in Applied Artificial Intelligence, 1998

On Bayesian Case Matching.

Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri

Proceedings of the Advances in Case-Based Reasoning, 4th European Workshop, 1998

Bayesian and Information-Theories Priors for Bayesian Network Parameters.

Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald

Proceedings of the Machine Learning: ECML-98, 1998

Batch Classification with Discrete Finite Mixtures.

Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri

Proceedings of the Machine Learning: ECML-98, 1998

Bayes Optimal Instance-Based Learning.

Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri

Proceedings of the Machine Learning: ECML-98, 1998

1996

Predictive Data Mining with Finite Mixtures.

Petri Kontkanen, Petri Myllymäki, Henry Tirri

Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Prababilistic Instance-Based Learning.

Henry Tirri, Petri Kontkanen, Petri Myllymäki

Proceedings of the Machine Learning, 1996

A Bayesian Framework for Case-Based Reasoning.

Henry Tirri, Petri Kontkanen, Petri Myllymäki

Proceedings of the Advances in Case-Based Reasoning, Third European Workshop, 1996

1993

Bayesian case-based reasoning with neural networks.

Petri Myllymäki, Henry Tirri

Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

Massively Parallel Case-Based Reasoning with Probabilistic Similarity Metrics.

Petri Myllymäki, Henry Tirri

Proceedings of the Topics in Case-Based Reasoning, First European Workshop, 1993

1990

Compiling Object Declarations into Connectionist Networks.

Patrik Floréen, Petri Myllymäki, Pekka Orponen, Henry Tirri

AI Commun., 1990

A neural implementation of conceptual hierarchies with Bayesian reasoning.

Pekka Orponen, Patrik Floréen, Petri Myllymäki, Henry Tirri

Proceedings of the IJCNN 1990, 1990

Programming Methods for Neural Computing.

Henry Tirri, Petri Myllymäki, Pekka Orponen, Patrik Floréen

Proceedings of the Parallelization in Inference Systems, 1990