Programming Methods for Neural Computing. - Henry Tirri; Petri Myllymäki; Pekka Orponen; Patrik Floréen (Dagstuhl Seminar on Parallelization in Inference Systems, 1990)

A neural implementation of conceptual hierarchies with Bayesian reasoning. - Pekka Orponen; Patrik Floréen; Petri Myllymäki; Henry Tirri (IJCNN, 1990)

Compiling Object Declarations into Connectionist Networks. - Patrik Floréen; Petri Myllymäki; Pekka Orponen; Henry Tirri (AI Commun., 1990)

Massively Parallel Case-Based Reasoning with Probabilistic Similarity Metrics. - Petri Myllymäki; Henry Tirri (EWCBR, 1993)

Bayesian case-based reasoning with neural networks. - Petri Myllymäki; Henry Tirri (ICNN, 1993)

A Bayesian Framework for Case-Based Reasoning. - Henry Tirri; Petri Kontkanen; Petri Myllymäki (EWCBR, 1996)

Prababilistic Instance-Based Learning. - Henry Tirri; Petri Kontkanen; Petri Myllymäki (ICML, 1996)

Predictive Data Mining with Finite Mixtures. - Petri Kontkanen; Petri Myllymäki; Henry Tirri (KDD, 1996)

Comparing Predictive Inference Methods for Discrete Domains. - Petri Kontkanen; Petri Myllymäki; Tomi Silander; Henry Tirri; Peter Grünwald (AISTATS, 1997)

Bayes Optimal Instance-Based Learning. - Petri Kontkanen; Petri Myllymäki; Tomi Silander; Henry Tirri (ECML, 1998)

Batch Classification with Discrete Finite Mixtures. - Petri Kontkanen; Petri Myllymäki; Tomi Silander; Henry Tirri (ECML, 1998)

Bayesian and Information-Theories Priors for Bayesian Network Parameters. - Petri Kontkanen; Petri Myllymäki; Tomi Silander; Henry Tirri; Peter Grünwald (ECML, 1998)

On Bayesian Case Matching. - Petri Kontkanen; Petri Myllymäki; Tomi Silander; Henry Tirri (EWCBR, 1998)

Comparing Soft Computing Methods in Prediction of Manufacturing Data. - Esa Koskimäki; Janne Göös; Petri Kontkanen; Petri Myllymäki; Henry Tirri (IEA/AIE (Vol. 2), 1998)

BAYDA: Software for Bayesian Classification and Feature Selection. - Petri Kontkanen; Petri Myllymäki; Tomi Silander; Henry Tirri (KDD, 1998)

Minimum Encoding Approaches for Predictive Modeling. - Peter Grünwald; Petri Kontkanen; Petri Myllymäki; Tomi Silander; Henry Tirri (UAI, 1998)

Exploring the robustness of Bayesian and information-theoretic methods for predictive inference. - Petri Kontkanen; Petri Myllymäki; Tomi Silander; Henry Tirri (AISTATS, 1999)

On Supervised Selection of Bayesian Networks. - Petri Kontkanen; Petri Myllymäki; Tomi Silander; Henry Tirri (UAI, 1999)

Massively Parallel Probabilistic Reasoning with Boltzmann Machines. - Petri Myllymäki (Appl. Intell., 1999)

An Unsupervised Bayesian Distance Measure. - Petri Kontkanen; Jussi Lahtinen; Petri Myllymäki; Henry Tirri (EWCBR, 2000)

Unsupervised Bayesian visualization of high-dimensional data. - Petri Kontkanen; Jussi Lahtinen; Petri Myllymäki; Henry Tirri (KDD, 2000)

Supervised model-based visualization of high-dimensional data. - Petri Kontkanen; Jussi Lahtinen; Petri Myllymäki; Tomi Silander; Henry Tirri (Intell. Data Anal., 2000)

On predictive distributions and Bayesian networks. - Petri Kontkanen; Petri Myllymäki; Tomi Silander; Henry Tirri; Peter Grünwald (Stat. Comput., 2000)

Comparing Prequential Model Selection Criteria in Supervised Learning of Mixture Models. - Petri Kontkanen; Petri Myllymäki; Henry Tirri (AISTATS, 2001)

Bayesian Data Mining on the Web with B-Course. - Petri Myllymäki; Tomi Silander; Henry Tirri; Pekka Uronen (ICDM, 2001)

B-Course: A Web Service for Bayesian Data Analysis. - Petri Myllymäki; Tomi Silander; Henry Tirri; Pekka Uronen (ICTAI, 2001)

Classifier Learning with Supervised Marginal Likelihood. - Petri Kontkanen; Petri Myllymäki; Henry Tirri (UAI, 2001)

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)

A Probabilistic Approach to WLAN User Location Estimation. - Teemu Roos; Petri Myllymäki; Henry Tirri; Pauli Misikangas; Juha Sievänen (Int. J. Wirel. Inf. Networks, 2002)

A Statistical Modeling Approach to Location Estimation. - Teemu Roos; Petri Myllymäki; Henry Tirri (IEEE Trans. Mob. Comput., 2002)

Efficient Computing of Stochastic Complexity. - Petri Kontkanen; Wray L. Buntine; Petri Myllymäki; Jorma Rissanen; Henry Tirri (AISTATS, 2003)

When Discriminative Learning of Bayesian Network Parameters Is Easy. - Hannes Wettig; Peter Grünwald; Teemu Roos; Petri Myllymäki; Henry Tirri (IJCAI, 2003)

Bayesian Analysis of Online Newspaper Log Data. - Hannes Wettig; Jussi Lahtinen; Tuomas Lepola; Petri Myllymäki; Henry Tirri (SAINT Workshops, 2003)

On text-based estimation of document relevance. - Eerika Savia; Samuel Kaski; Ville H. Tuulos; Petri Myllymäki (IJCNN, 2004)

Topics in probabilistic location estimation in wireless networks. - Petri Kontkanen; Petri Myllymäki; Teemu Roos; Henry Tirri; Kimmo Valtonen; Hannes Wettig (PIMRC, 2004)

On the Behavior of MDL Denoising. - Teemu Roos; Petri Myllymäki; Henry Tirri (AISTATS, 2005)

A Fast Normalized Maximum Likelihood Algorithm for Multinomial Data. - Petri Kontkanen; Petri Myllymäki (IJCAI, 2005)

Generalization to Unseen Cases. - Teemu Roos; Peter Grünwald; Petri Myllymäki; Henry Tirri (NIPS, 2005)

On Discriminative Bayesian Network Classifiers and Logistic Regression. - Teemu Roos; Hannes Wettig; Peter Grünwald; Petri Myllymäki; Henry Tirri (Mach. Learn., 2005)

A Compression-Based Method for Stemmatic Analysis. - Teemu Roos; Tuomas Heikkilä; Petri Myllymäki (ECAI, 2006)

A Simple Approach for Finding the Globally Optimal Bayesian Network Structure. - Tomi Silander; Petri Myllymäki (UAI, 2006)

Fast NML Computation for Naive Bayes Models. - Tommi Mononen; Petri Myllymäki (Discovery Science, 2007)

On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter. - Tomi Silander; Petri Kontkanen; Petri Myllymäki (UAI, 2007)

NML Computation Algorithms for Tree-Structured Multinomial Bayesian Networks. - Petri Kontkanen; Hannes Wettig; Petri Myllymäki (EURASIP J. Bioinform. Syst. Biol., 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)

A linear-time algorithm for computing the multinomial stochastic complexity. - Petri Kontkanen; Petri Myllymäki (Inf. Process. Lett., 2007)

MDL Histogram Density Estimation. - Petri Kontkanen; Petri Myllymäki (AISTATS, 2007)

Magrathea: A Mobile Agent- and Sensing Platform. - Jukka Perkiö; Petri Myllymäki; Ville H. Tuulos; Péter Boda (ICWN, 2008)

An Empirical Comparison of NML Clustering Algorithms. - Petri Kontkanen; Petri Myllymäki (ITSL, 2008)

On the Multinomial Stochastic Complexity and its Connection to the Birthday Problem. - Tommi Mononen; Petri Myllymäki (ITSL, 2008)

Computing the NML for Bayesian forests via matrices and generating polynomials. - Tommi Mononen; Petri Myllymäki (ITW, 2008)

Magrathea: Building and Analyzing Ubiquitous and Social Systems. - Jukka Perkiö; Petri Myllymäki (Web Intelligence, 2009)

Locally Minimax Optimal Predictive Modeling with Bayesian Networks. - Tomi Silander; Teemu Roos; Petri Myllymäki (AISTATS, 2009)

MDL denoising revisited. - Teemu Roos; Petri Myllymäki; Jorma Rissanen (IEEE Trans. Signal Process., 2009)

Learning locally minimax optimal Bayesian networks. - Tomi Silander; Teemu Roos; Petri Myllymäki (Int. J. Approx. Reason., 2010)

Model selection by sequentially normalized least squares. - Jorma Rissanen; Teemu Roos; Petri Myllymäki (J. Multivar. Anal., 2010)

Semi-supervised Learning for WLAN Positioning. - Teemu Pulkkinen; Teemu Roos; Petri Myllymäki (ICANN (1), 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)

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 (UbiComp, 2012)

Ma$$iv€ - An Intelligent Mobile Grocery Assistant. - Sourav Bhattacharya; Patrik Floréen; Andreas Forsblom; Samuli Hemminki; Petri Myllymäki; Petteri Nurmi; Teemu Pulkkinen; Antti Salovaara (Intelligent Environments, 2012)

Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (2008) - David A. McAllester; Petri Myllymäki (CoRR, 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)

Image similarity: from syntax to weak semantics. - Jukka Perkiö; Antti J. Tuominen; Taneli Vähäkangas; Petri Myllymäki (Multim. Tools Appl., 2012)

Achievability of Asymptotic Minimax Regret in Online and Batch Prediction. - Kazuho Watanabe; Teemu Roos; Petri Myllymäki (ACML, 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 (CIKM, 2013)

Optimal Neighborhood Preserving Visualization by Maximum Satisfiability. - Kerstin Bunte; Matti Järvisalo; Jeremias Berg; Petri Myllymäki; Jaakko Peltonen; Samuel Kaski (AAAI, 2014)

Predicting the Hardness of Learning Bayesian Networks. - Brandon M. Malone; Kustaa Kangas; Matti Järvisalo; Mikko Koivisto; Petri Myllymäki (AAAI, 2014)

Robust learning of inhomogeneous PMMs. - Ralf Eggeling; Teemu Roos; Petri Myllymäki; Ivo Grosse (AISTATS, 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 (CHI Extended Abstracts, 2014)

Passive Localization of a Robot Using Multiple-View Geometry. - Ehsan Khoramshahi; Eija Honkavaara; Juha Hyyppä; Petri Myllymäki (Int. J. Robotics Appl. Technol., 2014)

Hashing-Based Hybrid Duplicate Detection for Bayesian Network Structure Learning. - Niklas Jahnsson; Brandon M. Malone; Petri Myllymäki (AMBN@JSAI-isAI, 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 (SIGIR, 2015)

Impact of Learning Strategies on the Quality of Bayesian Networks: An Empirical Evaluation. - Brandon M. Malone; Matti Järvisalo; Petri Myllymäki (UAI, 2015)

Inferring intra-motif dependencies of DNA binding sites from ChIP-seq data. - Ralf Eggeling; Teemu Roos; Petri Myllymäki; Ivo Grosse (BMC Bioinform., 2015)

Interactive intent modeling: information discovery beyond search. - Tuukka Ruotsalo; Giulio Jacucci; Petri Myllymäki; Samuel Kaski (Commun. ACM, 2015)

AS-ASL: Algorithm Selection with Auto-sklearn. - Brandon M. Malone; Kustaa Kangas; Matti Järvisalo; Mikko Koivisto; Petri Myllymäki (OASC, 2017)

Duplicate Detection for Bayesian Network Structure Learning. - Niklas Jahnsson; Brandon M. Malone; Petri Myllymäki (New Gener. Comput., 2017)

Detecting Industrial fouling by monotonicity during ultrasonic Cleaning. - Chang Rajani; Arto Klami; Ari Salmi; Timo Rauhala; Edward Hæggström; Petri Myllymäki (MLSP, 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)

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)