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Petri Kontkanen
Person information
- affiliation: University of Helsinki, Finland
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2010 – 2019
- 2013
- [i4]Petri Kontkanen, Petri Myllymäki, Henry Tirri:
Classifier Learning with Supervised Marginal Likelihood. CoRR abs/1301.2284 (2013) - [i3]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
On Supervised Selection of Bayesian Networks. CoRR abs/1301.6710 (2013) - [i2]Peter Grünwald, Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
Minimum Encoding Approaches for Predictive Modeling. CoRR abs/1301.7378 (2013) - 2012
- [c25]Panu Luosto, Ciprian Doru Giurcaneanu
, Petri Kontkanen:
Construction of irregular histograms by penalized maximum likelihood: A comparative study. ITW 2012: 297-301 - [c24]Ciprian Doru Giurcaneanu
On the performance of histogram-based entropy estimators. MLSP 2012: 1-6 - [i1]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) - 2011
- [j5]Panu Luosto, Petri Kontkanen:
Clustgrams: an extension to histogram densities based on the minimum description length principle. Central Eur. J. Comput. Sci. 1(4): 466-481 (2011)
2000 – 2009
- 2008
- [c23]Petri Kontkanen, Petri Myllymäki:
An Empirical Comparison of NML Clustering Algorithms. ITSL 2008: 125-131 - 2007
- [j4]Petri Kontkanen, Hannes Wettig, Petri Myllymäki
NML Computation Algorithms for Tree-Structured Multinomial Bayesian Networks. EURASIP J. Bioinform. Syst. Biol. 2007 (2007) - [j3]Petri Kontkanen, Petri Myllymäki
A linear-time algorithm for computing the multinomial stochastic complexity. Inf. Process. Lett. 103(6): 227-233 (2007) - [c22]Tomi Silander, Petri Kontkanen, Petri Myllymäki:
On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter. UAI 2007: 360-367 - [c21]Petri Kontkanen, Petri Myllymäki:
MDL Histogram Density Estimation. AISTATS 2007: 219-226 - 2005
- [c20]Petri Kontkanen, Petri Myllymäki:
A Fast Normalized Maximum Likelihood Algorithm for Multinomial Data. IJCAI 2005: 1613-1615 - 2004
- [c19]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
- [c18]Petri Kontkanen, Wray L. Buntine, Petri Myllymäki, Jorma Rissanen, Henry Tirri:
Efficient Computing of Stochastic Complexity. AISTATS 2003: 171-178 - 2001
- [c17]Petri Kontkanen, Petri Myllymäki, Henry Tirri:
Comparing Prequential Model Selection Criteria in Supervised Learning of Mixture Models. AISTATS 2001: 156-161 - [c16]Petri Kontkanen, Petri Myllymäki, Henry Tirri:
Classifier Learning with Supervised Marginal Likelihood. UAI 2001: 277-284 - 2000
- [j2]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) - [j1]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald:
On predictive distributions and Bayesian networks. Stat. Comput. 10(1): 39-54 (2000) - [c15]Petri Kontkanen, Jussi Lahtinen, Petri Myllymäki, Henry Tirri:
An Unsupervised Bayesian Distance Measure. EWCBR 2000: 148-160 - [c14]Petri Kontkanen, Jussi Lahtinen, Petri Myllymäki, Henry Tirri:
Unsupervised Bayesian visualization of high-dimensional data. KDD 2000: 325-329
1990 – 1999
- 1999
- [c13]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
Exploring the robustness of Bayesian and information-theoretic methods for predictive inference. AISTATS 1999 - [c12]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
On Supervised Selection of Bayesian Networks. UAI 1999: 334-342 - 1998
- [c11]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
Bayes Optimal Instance-Based Learning. ECML 1998: 77-88 - [c10]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald:
Bayesian and Information-Theories Priors for Bayesian Network Parameters. ECML 1998: 89-94 - [c9]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
Batch Classification with Discrete Finite Mixtures. ECML 1998: 208-213 - [c8]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
On Bayesian Case Matching. EWCBR 1998: 13-24 - [c7]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 - [c6]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
BAYDA: Software for Bayesian Classification and Feature Selection. KDD 1998: 254-258 - [c5]Peter Grünwald, Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
Minimum Encoding Approaches for Predictive Modeling. UAI 1998: 183-192 - 1997
- [c4]Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald:
Comparing Predictive Inference Methods for Discrete Domains. AISTATS 1997: 311-318 - 1996
- [c3]Henry Tirri, Petri Kontkanen, Petri Myllymäki:
A Bayesian Framework for Case-Based Reasoning. EWCBR 1996: 413-427 - [c2]Henry Tirri, Petri Kontkanen, Petri Myllymäki:
Prababilistic Instance-Based Learning. ICML 1996: 507-515 - [c1]Petri Kontkanen, Petri Myllymäki, Henry Tirri:
Predictive Data Mining with Finite Mixtures. KDD 1996: 176-182
Coauthor Index
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