Petri Myllymäki

88 papers A* 10A 17B 7C 1Misc 1Journal 30Unranked 22

Year	Rank	Type	Title / Venue / Authors
2018	—	`conf`	Detecting Industrial fouling by monotonicity during ultrasonic Cleaning. MLSP Chang Rajani, Arto Klami, Ari Salmi, Timo Rauhala, Edward Hæggström, Petri Myllymäki
2018	J	`jnl`	Empirical hardness of finding optimal Bayesian network structures: algorithm selection and runtime prediction. Mach. Learn. Brandon M. Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, Petri Myllymäki
2018	J	`jnl`	Interactive Intent Modeling for Exploratory Search. ACM Trans. Inf. Syst. Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Patrik Floréen, Petri Myllymäki, Giulio Jacucci, Samuel Kaski
2017	—	`conf`	AS-ASL: Algorithm Selection with Auto-sklearn. OASC Brandon M. Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, Petri Myllymäki
2017	J	`jnl`	Duplicate Detection for Bayesian Network Structure Learning. New Gener. Comput. Niklas Jahnsson, Brandon M. Malone, Petri Myllymäki
2015	—	`conf`	Hashing-Based Hybrid Duplicate Detection for Bayesian Network Structure Learning. AMBN@JSAI-isAI Niklas Jahnsson, Brandon M. Malone, Petri Myllymäki
2015	A	`conf`	Impact of Learning Strategies on the Quality of Bayesian Networks: An Empirical Evaluation. UAI Brandon M. Malone, Matti Järvisalo, Petri Myllymäki
2015	J	`jnl`	Inferring intra-motif dependencies of DNA binding sites from ChIP-seq data. BMC Bioinform. Ralf Eggeling, Teemu Roos, Petri Myllymäki, Ivo Grosse
2015	J	`jnl`	Interactive intent modeling: information discovery beyond search. Commun. ACM Tuukka Ruotsalo, Giulio Jacucci, Petri Myllymäki, Samuel Kaski
2015	A*	`conf`	SciNet: Interactive Intent Modeling for Information Discovery. SIGIR Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Aki Reijonen, Giulio Jacucci, Petri Myllymäki, Samuel Kaski
2014	—	`conf`	Intentradar: search user interface that anticipates user's search intents. CHI Extended Abstracts Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Aki Reijonen, Giulio Jacucci, Petri Myllymäki, Samuel Kaski
2014	A*	`conf`	Optimal Neighborhood Preserving Visualization by Maximum Satisfiability. AAAI Kerstin Bunte, Matti Järvisalo, Jeremias Berg, Petri Myllymäki, Jaakko Peltonen, Samuel Kaski
2014	J	`jnl`	Passive Localization of a Robot Using Multiple-View Geometry. Int. J. Robotics Appl. Technol. Ehsan Khoramshahi, Eija Honkavaara, Juha Hyyppä, Petri Myllymäki
2014	A*	`conf`	Predicting the Hardness of Learning Bayesian Networks. AAAI Brandon M. Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, Petri Myllymäki
2014	A	`conf`	Robust learning of inhomogeneous PMMs. AISTATS Ralf Eggeling, Teemu Roos, Petri Myllymäki, Ivo Grosse
2013	C	`conf`	Achievability of Asymptotic Minimax Regret in Online and Batch Prediction. ACML Kazuho Watanabe, Teemu Roos, Petri Myllymäki
2013	J	`jnl`	Classifier Learning with Supervised Marginal Likelihood CoRR Petri Kontkanen, Petri Myllymäki, Henry Tirri
2013	A	`conf`	Directing exploratory search with interactive intent modeling. CIKM Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Ksenia Konyushkova, Kumaripaba Athukorala, Ilkka Kosunen, Aki Reijonen, Petri Myllymäki, Giulio Jacucci, Samuel Kaski
2013	J	`jnl`	Minimum Encoding Approaches for Predictive Modeling CoRR Peter Grünwald, Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
2013	J	`jnl`	On Supervised Selection of Bayesian Networks CoRR Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
2012	J	`jnl`	A simple approach for finding the globally optimal Bayesian network structure. CoRR Tomi Silander, Petri Myllymäki
2012	J	`jnl`	Image similarity: from syntax to weak semantics. Multim. Tools Appl. Jukka Perkiö, Antti J. Tuominen, Taneli Vähäkangas, Petri Myllymäki
2012	Misc	`conf`	Long-term effects of ubiquitous surveillance in the home. UbiComp Antti Oulasvirta, Aurora Pihlajamaa, Jukka Perkiö, Debarshi Ray, Taneli Vähäkangas, Tero Hasu, Niklas Vainio, Petri Myllymäki
2012	B	`conf`	Ma$$iv€ - An Intelligent Mobile Grocery Assistant. Intelligent Environments Sourav Bhattacharya, Patrik Floréen, Andreas Forsblom, Samuli Hemminki, Petri Myllymäki, Petteri Nurmi, Teemu Pulkkinen, Antti Salovaara
2012	J	`jnl`	On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter CoRR Tomi Silander, Petri Kontkanen, Petri Myllymäki
2012	J	`jnl`	Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (2008) CoRR David A. McAllester, Petri Myllymäki
2012	J	`jnl`	Special Issue on the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010). Int. J. Approx. Reason. Teemu Roos, Petri Myllymäki, Tommi S. Jaakkola
2011	J	`jnl`	Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood. J. Mach. Learn. Res. Alexandra M. Carvalho, Teemu Roos, Arlindo L. Oliveira, Petri Myllymäki
2011	—	`conf`	Semi-supervised Learning for WLAN Positioning. ICANN (1) Teemu Pulkkinen, Teemu Roos, Petri Myllymäki
2010	J	`jnl`	Learning locally minimax optimal Bayesian networks. Int. J. Approx. Reason. Tomi Silander, Teemu Roos, Petri Myllymäki
2010	J	`jnl`	Model selection by sequentially normalized least squares. J. Multivar. Anal. Jorma Rissanen, Teemu Roos, Petri Myllymäki
2009	A	`conf`	Locally Minimax Optimal Predictive Modeling with Bayesian Networks. AISTATS Tomi Silander, Teemu Roos, Petri Myllymäki
2009	J	`jnl`	MDL denoising revisited. IEEE Trans. Signal Process. Teemu Roos, Petri Myllymäki, Jorma Rissanen
2009	—	`conf`	Magrathea: Building and Analyzing Ubiquitous and Social Systems. Web Intelligence Jukka Perkiö, Petri Myllymäki
2008	—	`conf`	An Empirical Comparison of NML Clustering Algorithms. ITSL Petri Kontkanen, Petri Myllymäki
2008	B	`conf`	Computing the NML for Bayesian forests via matrices and generating polynomials. ITW Tommi Mononen, Petri Myllymäki
2008	—	`conf`	Magrathea: A Mobile Agent- and Sensing Platform. ICWN Jukka Perkiö, Petri Myllymäki, Ville H. Tuulos, Péter Boda
2008	—	`conf`	On the Multinomial Stochastic Complexity and its Connection to the Birthday Problem. ITSL Tommi Mononen, Petri Myllymäki
2008	A	`ed.`	UAI 2008, Proceedings of the 24th Conference in Uncertainty in Artificial Intelligence, Helsinki, Finland, July 9-12, 2008 UAI David A. McAllester, Petri Myllymäki
2007	J	`jnl`	A linear-time algorithm for computing the multinomial stochastic complexity. Inf. Process. Lett. Petri Kontkanen, Petri Myllymäki
2007	B	`conf`	Fast NML Computation for Naive Bayes Models. Discovery Science Tommi Mononen, Petri Myllymäki
2007	J	`jnl`	Information Theoretic Methods for Bioinformatics. EURASIP J. Bioinform. Syst. Biol. Jorma Rissanen, Peter D. Grünwald, Jukka Heikkonen, Petri Myllymäki, Teemu Roos, Juho Rousu
2007	A	`conf`	MDL Histogram Density Estimation. AISTATS Petri Kontkanen, Petri Myllymäki
2007	J	`jnl`	NML Computation Algorithms for Tree-Structured Multinomial Bayesian Networks. EURASIP J. Bioinform. Syst. Biol. Petri Kontkanen, Hannes Wettig, Petri Myllymäki
2007	A	`conf`	On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter. UAI Tomi Silander, Petri Kontkanen, Petri Myllymäki
2006	A	`conf`	A Compression-Based Method for Stemmatic Analysis. ECAI Teemu Roos, Tuomas Heikkilä, Petri Myllymäki
2006	A	`conf`	A Simple Approach for Finding the Globally Optimal Bayesian Network Structure. UAI Tomi Silander, Petri Myllymäki
2006	J	`jnl`	MDL Denoising Revisited CoRR Teemu Roos, Petri Myllymäki, Jorma Rissanen
2005	A*	`conf`	A Fast Normalized Maximum Likelihood Algorithm for Multinomial Data. IJCAI Petri Kontkanen, Petri Myllymäki
2005	—	`conf`	Generalization to Unseen Cases. BNAIC Teemu Roos, Peter Grünwald, Petri Myllymäki, Henry Tirri
2005	—	`conf`	Generalization to Unseen Cases. NIPS Teemu Roos, Peter Grünwald, Petri Myllymäki, Henry Tirri
2005	J	`jnl`	On Discriminative Bayesian Network Classifiers and Logistic Regression. Mach. Learn. Teemu Roos, Hannes Wettig, Peter Grünwald, Petri Myllymäki, Henry Tirri
2005	A	`conf`	On the Behavior of MDL Denoising. AISTATS Teemu Roos, Petri Myllymäki, Henry Tirri
2004	B	`conf`	On text-based estimation of document relevance. IJCNN Eerika Savia, Samuel Kaski, Ville H. Tuulos, Petri Myllymäki
2004	B	`conf`	Topics in probabilistic location estimation in wireless networks. PIMRC Petri Kontkanen, Petri Myllymäki, Teemu Roos, Henry Tirri, Kimmo Valtonen, Hannes Wettig
2003	—	`conf`	Bayesian Analysis of Online Newspaper Log Data. SAINT Workshops Hannes Wettig, Jussi Lahtinen, Tuomas Lepola, Petri Myllymäki, Henry Tirri
2003	A	`conf`	Efficient Computing of Stochastic Complexity. AISTATS Petri Kontkanen, Wray L. Buntine, Petri Myllymäki, Jorma Rissanen, Henry Tirri
2003	A*	`conf`	When Discriminative Learning of Bayesian Network Parameters Is Easy. IJCAI Hannes Wettig, Peter Grünwald, Teemu Roos, Petri Myllymäki, Henry Tirri
2002	J	`jnl`	A Probabilistic Approach to WLAN User Location Estimation. Int. J. Wirel. Inf. Networks Teemu Roos, Petri Myllymäki, Henry Tirri, Pauli Misikangas, Juha Sievänen
2002	J	`jnl`	A Statistical Modeling Approach to Location Estimation. IEEE Trans. Mob. Comput. Teemu Roos, Petri Myllymäki, Henry Tirri
2002	J	`jnl`	B-Course: A Web-Based Tool for Bayesian and Causal Data Analysis. Int. J. Artif. Intell. Tools Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen
2001	B	`conf`	B-Course: A Web Service for Bayesian Data Analysis. ICTAI Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen
2001	A*	`conf`	Bayesian Data Mining on the Web with B-Course. ICDM Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen
2001	A	`conf`	Classifier Learning with Supervised Marginal Likelihood. UAI Petri Kontkanen, Petri Myllymäki, Henry Tirri
2001	A	`conf`	Comparing Prequential Model Selection Criteria in Supervised Learning of Mixture Models. AISTATS Petri Kontkanen, Petri Myllymäki, Henry Tirri
2000	—	`conf`	An Unsupervised Bayesian Distance Measure. EWCBR Petri Kontkanen, Jussi Lahtinen, Petri Myllymäki, Henry Tirri
2000	J	`jnl`	On predictive distributions and Bayesian networks. Stat. Comput. Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald
2000	J	`jnl`	Supervised model-based visualization of high-dimensional data. Intell. Data Anal. Petri Kontkanen, Jussi Lahtinen, Petri Myllymäki, Tomi Silander, Henry Tirri
2000	A*	`conf`	Unsupervised Bayesian visualization of high-dimensional data. KDD Petri Kontkanen, Jussi Lahtinen, Petri Myllymäki, Henry Tirri
1999	A	`conf`	Exploring the robustness of Bayesian and information-theoretic methods for predictive inference. AISTATS Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
1999	J	`jnl`	Massively Parallel Probabilistic Reasoning with Boltzmann Machines. Appl. Intell. Petri Myllymäki
1999	A	`conf`	On Supervised Selection of Bayesian Networks. UAI Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
1998	A*	`conf`	BAYDA: Software for Bayesian Classification and Feature Selection. KDD Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
1998	—	`conf`	Batch Classification with Discrete Finite Mixtures. ECML Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
1998	—	`conf`	Bayes Optimal Instance-Based Learning. ECML Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
1998	—	`conf`	Bayesian and Information-Theories Priors for Bayesian Network Parameters. ECML Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald
1998	—	`conf`	Comparing Soft Computing Methods in Prediction of Manufacturing Data. IEA/AIE (Vol. 2) Esa Koskimäki, Janne Göös, Petri Kontkanen, Petri Myllymäki, Henry Tirri
1998	A	`conf`	Minimum Encoding Approaches for Predictive Modeling. UAI Peter Grünwald, Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
1998	—	`conf`	On Bayesian Case Matching. EWCBR Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
1997	A	`conf`	Comparing Predictive Inference Methods for Discrete Domains. AISTATS Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald
1996	—	`conf`	A Bayesian Framework for Case-Based Reasoning. EWCBR Henry Tirri, Petri Kontkanen, Petri Myllymäki
1996	A*	`conf`	Prababilistic Instance-Based Learning. ICML Henry Tirri, Petri Kontkanen, Petri Myllymäki
1996	A*	`conf`	Predictive Data Mining with Finite Mixtures. KDD Petri Kontkanen, Petri Myllymäki, Henry Tirri
1993	—	`conf`	Bayesian case-based reasoning with neural networks. ICNN Petri Myllymäki, Henry Tirri
1993	—	`conf`	Massively Parallel Case-Based Reasoning with Probabilistic Similarity Metrics. EWCBR Petri Myllymäki, Henry Tirri
1990	B	`conf`	A neural implementation of conceptual hierarchies with Bayesian reasoning. IJCNN Pekka Orponen, Patrik Floréen, Petri Myllymäki, Henry Tirri
1990	J	`jnl`	Compiling Object Declarations into Connectionist Networks. AI Commun. Patrik Floréen, Petri Myllymäki, Pekka Orponen, Henry Tirri
1990	—	`conf`	Programming Methods for Neural Computing. Dagstuhl Seminar on Parallelization in Inference Systems Henry Tirri, Petri Myllymäki, Pekka Orponen, Patrik Floréen