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Petri Myllymäki
- > Home > Persons > Petri Myllymäki
Publications
- 2013
- [i7]Petri Kontkanen, Petri Myllymäki, Henry Tirri:
Classifier Learning with Supervised Marginal Likelihood. CoRR abs/1301.2284 (2013) - [i6]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
On Supervised Selection of Bayesian Networks. CoRR abs/1301.6710 (2013) - [i5]Peter Grünwald, Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
Minimum Encoding Approaches for Predictive Modeling. CoRR abs/1301.7378 (2013) - 2005
- [j8]Teemu Roos, Hannes Wettig, Peter Grünwald, Petri Myllymäki, Henry Tirri:
On Discriminative Bayesian Network Classifiers and Logistic Regression. Mach. Learn. 59(3): 267-296 (2005) - [c30]Teemu Roos, Petri Myllymäki, Henry Tirri:
On the Behavior of MDL Denoising. AISTATS 2005 - [c29]Teemu Roos, Peter Grünwald, Petri Myllymäki, Henry Tirri:
Generalization to Unseen Cases. BNAIC 2005: 194-201 - [c27]Teemu Roos, Peter Grünwald, Petri Myllymäki, Henry Tirri:
Generalization to Unseen Cases. NIPS 2005: 1129-1136 - 2004
- [c26]Petri Kontkanen, Petri Myllymäki, Teemu Roos, Henry Tirri, Kimmo Valtonen, Hannes Wettig:
Topics in probabilistic location estimation in wireless networks. PIMRC 2004: 1052-1056 - 2003
- [c25]Petri Kontkanen, Wray L. Buntine, Petri Myllymäki, Jorma Rissanen, Henry Tirri:
Efficient Computing of Stochastic Complexity. AISTATS 2003 - [c24]Hannes Wettig, Peter Grünwald, Teemu Roos, Petri Myllymäki, Henry Tirri:
When Discriminative Learning of Bayesian Network Parameters Is Easy. IJCAI 2003: 491-498 - [c23]Hannes Wettig, Jussi Lahtinen, Tuomas Lepola, Petri Myllymäki, Henry Tirri:
Bayesian Analysis of Online Newspaper Log Data. SAINT Workshops 2003: 282-287 - 2002
- [j7]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): 369-387 (2002) - [j6]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): 155-164 (2002) - [j5]Teemu Roos, Petri Myllymäki, Henry Tirri:
A Statistical Modeling Approach to Location Estimation. IEEE Trans. Mob. Comput. 1(1): 59-69 (2002) - 2001
- [c22]Petri Kontkanen, Petri Myllymäki, Henry Tirri:
Comparing Prequential Model Selection Criteria in Supervised Learning of Mixture Models. AISTATS 2001 - [c21]Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen:
Bayesian Data Mining on the Web with B-Course. ICDM 2001: 626-629 - [c20]Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen:
B-Course: A Web Service for Bayesian Data Analysis. ICTAI 2001: 247-256 - [c19]Petri Kontkanen, Petri Myllymäki, Henry Tirri:
Classifier Learning with Supervised Marginal Likelihood. UAI 2001: 277-284 - 2000
- [j4]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) - [j3]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald:
On predictive distributions and Bayesian networks. Stat. Comput. 10(1): 39-54 (2000) - [c18]Petri Kontkanen, Jussi Lahtinen, Petri Myllymäki, Henry Tirri:
An Unsupervised Bayesian Distance Measure. EWCBR 2000: 148-160 - [c17]Petri Kontkanen, Jussi Lahtinen, Petri Myllymäki, Henry Tirri:
Unsupervised Bayesian visualization of high-dimensional data. KDD 2000: 325-329 - 1999
- [c16]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
Exploring the robustness of Bayesian and information-theoretic methods for predictive inference. AISTATS 1999 - [c15]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
On Supervised Selection of Bayesian Networks. UAI 1999: 334-342 - 1998
- [c14]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
Bayes Optimal Instance-Based Learning. ECML 1998: 77-88 - [c13]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald:
Bayesian and Information-Theories Priors for Bayesian Network Parameters. ECML 1998: 89-94 - [c12]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
Batch Classification with Discrete Finite Mixtures. ECML 1998: 208-213 - [c11]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
On Bayesian Case Matching. EWCBR 1998: 13-24 - [c10]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 - [c9]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
BAYDA: Software for Bayesian Classification and Feature Selection. KDD 1998: 254-258 - [c8]Peter Grünwald, Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
Minimum Encoding Approaches for Predictive Modeling. UAI 1998: 183-192 - 1996
- [c7]Henry Tirri, Petri Kontkanen, Petri Myllymäki:
A Bayesian Framework for Case-Based Reasoning. EWCBR 1996: 413-427 - [c6]Henry Tirri, Petri Kontkanen, Petri Myllymäki:
Prababilistic Instance-Based Learning. ICML 1996: 507-515 - [c5]Petri Kontkanen, Petri Myllymäki, Henry Tirri:
Predictive Data Mining with Finite Mixtures. KDD 1996: 176-182 - 1993
- [c4]Petri Myllymäki, Henry Tirri:
Massively Parallel Case-Based Reasoning with Probabilistic Similarity Metrics. EWCBR 1993: 144-154 - [c3]Petri Myllymäki, Henry Tirri:
Bayesian case-based reasoning with neural networks. ICNN 1993: 422-427 - 1990
- [j1]Patrik Floréen, Petri Myllymäki, Pekka Orponen, Henry Tirri:
Compiling Object Declarations into Connectionist Networks. AI Commun. 3(4): 172-183 (1990) - [c2]Henry Tirri, Petri Myllymäki, Pekka Orponen, Patrik Floréen:
Programming Methods for Neural Computing. Dagstuhl Seminar on Parallelization in Inference Systems 1990: 357 - [c1]Pekka Orponen, Patrik Floréen, Petri Myllymäki, Henry Tirri:
A neural implementation of conceptual hierarchies with Bayesian reasoning. IJCNN 1990: 297-303
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