Petri Myllymäki

Petri Kontkanen, Petri Myllymäki, Henry Tirri: Classifier Learning with Supervised Marginal Likelihood. CoRR abs/1301.2284 (2013)

Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri: On Supervised Selection of Bayesian Networks. CoRR abs/1301.6710 (2013)

Peter Grünwald, Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri: Minimum Encoding Approaches for Predictive Modeling. CoRR abs/1301.7378 (2013)

Teemu Roos, Petri Myllymäki, Tommi Jaakkola: Special Issue on the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010). Int. J. Approx. Reasoning 53(9): 1303-1304 (2012)

Jukka Perkiö, Antti J. Tuominen, Taneli Vähäkangas, Petri Myllymäki: Image similarity: from syntax to weak semantics. Multimedia Tools Appl. 57(1): 5-27 (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: 41-50

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

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)

David A. McAllester, Petri Myllymäki: Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (2008). CoRR abs/1208.5154 (2012)

Alexandra M. Carvalho, Teemu Roos, Arlindo L. Oliveira, Petri Myllymäki: Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood. Journal of Machine Learning Research 12: 2181-2210 (2011)

Teemu Pulkkinen, Teemu Roos, Petri Myllymäki: Semi-supervised Learning for WLAN Positioning. ICANN (1) 2011: 355-362

Tomi Silander, Teemu Roos, Petri Myllymäki: Learning locally minimax optimal Bayesian networks. Int. J. Approx. Reasoning 51(5): 544-557 (2010)

Jorma Rissanen, Teemu Roos, Petri Myllymäki: Model selection by sequentially normalized least squares. J. Multivariate Analysis 101(4): 839-849 (2010)

Tomi Silander, Teemu Roos, Petri Myllymäki: Locally Minimax Optimal Predictive Modeling with Bayesian Networks. Journal of Machine Learning Research - Proceedings Track 5: 504-511 (2009)

Teemu Roos, Petri Myllymäki, Jorma Rissanen: MDL denoising revisited. IEEE Transactions on Signal Processing 57(9): 3347-3360 (2009)

Jukka Perkiö, Petri Myllymäki: Magrathea: Building and Analyzing Ubiquitous and Social Systems. Web Intelligence 2009: 66-75

Jukka Perkiö, Petri Myllymäki, Ville H. Tuulos, Péter Boda: Magrathea: A Mobile Agent- and Sensing Platform. ICWN 2008: 494-500

Tommi Mononen, Petri Myllymäki: On the Multinomial Stochastic Complexity and its Connection to the Birthday Problem. ITSL 2008: 17-22

Petri Kontkanen, Petri Myllymäki: An Empirical Comparison of NML Clustering Algorithms. ITSL 2008: 125-131

David A. McAllester, Petri Myllymäki (Eds.): 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

Petri Kontkanen, Hannes Wettig, Petri Myllymäki: NML Computation Algorithms for Tree-Structured Multinomial Bayesian Networks. EURASIP J. Bioinformatics and Systems Biology 2007 (2007)

Jorma Rissanen, Peter D. Grünwald, Jukka Heikkonen, Petri Myllymäki, Teemu Roos, Juho Rousu: Information Theoretic Methods for Bioinformatics. EURASIP J. Bioinformatics and Systems Biology 2007 (2007)

Petri Kontkanen, Petri Myllymäki: A linear-time algorithm for computing the multinomial stochastic complexity. Inf. Process. Lett. 103(6): 227-233 (2007)

Petri Kontkanen, Petri Myllymäki: MDL Histogram Density Estimation. Journal of Machine Learning Research - Proceedings Track 2: 219-226 (2007)

Tommi Mononen, Petri Myllymäki: Fast NML Computation for Naive Bayes Models. Discovery Science 2007: 151-160

Tomi Silander, Petri Kontkanen, Petri Myllymäki: On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter. UAI 2007: 360-367

Teemu Roos, Tuomas Heikkilä, Petri Myllymäki: A Compression-Based Method for Stemmatic Analysis. ECAI 2006: 805-806

Tomi Silander, Petri Myllymäki: A Simple Approach for Finding the Globally Optimal Bayesian Network Structure. UAI 2006

Teemu Roos, Petri Myllymäki, Jorma Rissanen: MDL Denoising Revisited. CoRR abs/cs/0609138 (2006)

Teemu Roos, Hannes Wettig, Peter Grünwald, Petri Myllymäki, Henry Tirri: On Discriminative Bayesian Network Classifiers and Logistic Regression. Machine Learning 59(3): 267-296 (2005)

Teemu Roos, Peter Grünwald, Petri Myllymäki, Henry Tirri: Generalization to Unseen Cases. BNAIC 2005: 194-201

Petri Kontkanen, Petri Myllymäki: A Fast Normalized Maximum Likelihood Algorithm for Multinomial Data. IJCAI 2005: 1613-1615

Teemu Roos, Peter Grünwald, Petri Myllymäki, Henry Tirri: Generalization to Unseen Cases. NIPS 2005

Petri Kontkanen, Petri Myllymäki, Teemu Roos, Henry Tirri, Kimmo Valtonen, Hannes Wettig: Topics in probabilistic location estimation in wireless networks. PIMRC 2004: 1052-1056

Hannes Wettig, Peter Grünwald, Teemu Roos, Petri Myllymäki, Henry Tirri: When Discriminative Learning of Bayesian Network Parameters Is Easy. IJCAI 2003: 491-498

Hannes Wettig, Jussi Lahtinen, Tuomas Lepola, Petri Myllymäki, Henry Tirri: Bayesian Analysis of Online Newspaper Log Data. SAINT Workshops 2003: 282-287

Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen: B-Course: A Web-Based Tool for Bayesian and Causal Data Analysis. International Journal on Artificial Intelligence Tools 11(3): 369-387 (2002)

Teemu Roos, Petri Myllymäki, Henry Tirri, Pauli Misikangas, Juha Sievänen: A Probabilistic Approach to WLAN User Location Estimation. IJWIN 9(3): 155-164 (2002)

Teemu Roos, Petri Myllymäki, Henry Tirri: A Statistical Modeling Approach to Location Estimation. IEEE Trans. Mob. Comput. 1(1): 59-69 (2002)

Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen: Bayesian Data Mining on the Web with B-Course. ICDM 2001: 626-629

Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen: B-Course: A Web Service for Bayesian Data Analysis. ICTAI 2001: 247-256

Petri Kontkanen, Petri Myllymäki, Henry Tirri: Classifier Learning with Supervised Marginal Likelihood. UAI 2001: 277-284

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)

Petri Kontkanen, Jussi Lahtinen, Petri Myllymäki, Henry Tirri: An Unsupervised Bayesian Distance Measure. EWCBR 2000: 148-160

Petri Kontkanen, Jussi Lahtinen, Petri Myllymäki, Henry Tirri: Unsupervised Bayesian visualization of high-dimensional data. KDD 2000: 325-329

Petri Myllymäki: Massively Parallel Probabilistic Reasoning with Boltzmann Machines. Appl. Intell. 11(1): 31-44 (1999)

Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri: On Supervised Selection of Bayesian Networks. UAI 1999: 334-342

Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri: Bayes Optimal Instance-Based Learning. ECML 1998: 77-88

Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald: Bayesian and Information-Theories Priors for Bayesian Network Parameters. ECML 1998: 89-94

Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri: Batch Classification with Discrete Finite Mixtures. ECML 1998: 208-213

Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri: On Bayesian Case Matching. EWCBR 1998: 13-24

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

Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri: BAYDA: Software for Bayesian Classification and Feature Selection. KDD 1998: 254-258

Peter Grünwald, Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri: Minimum Encoding Approaches for Predictive Modeling. UAI 1998: 183-192

Henry Tirri, Petri Kontkanen, Petri Myllymäki: A Bayesian Framework for Case-Based Reasoning. EWCBR 1996: 413-427

Henry Tirri, Petri Kontkanen, Petri Myllymäki: Prababilistic Instance-Based Learning. ICML 1996: 507-515

Petri Kontkanen, Petri Myllymäki, Henry Tirri: Predictive Data Mining with Finite Mixtures. KDD 1996: 176-182

Petri Myllymäki, Henry Tirri: Massively Parallel Case-Based Reasoning with Probabilistic Similarity Metrics. EWCBR 1993: 144-154

Patrik Floréen, Petri Myllymäki, Pekka Orponen, Henry Tirri: Compiling Object Declarations into Connectionist Networks. AI Commun. 3(4): 172-183 (1990)

Henry Tirri, Petri Myllymäki, Pekka Orponen, Patrik Floréen: Programming Methods for Neural Computing. Dagstuhl Seminar on Parallelization in Inference Systems 1990: 357