Petri Kontkanen

34 papers A* 5A 9B 2Journal 9Unranked 9
YearRankTypeTitle / Venue / Authors
2013 J jnl
Classifier Learning with Supervised Marginal Likelihood
CoRR
Petri Kontkanen, Petri Myllymäki, Henry Tirri
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 B conf
Construction of irregular histograms by penalized maximum likelihood: A comparative study.
ITW
Panu Luosto, Ciprian Doru Giurcaneanu, Petri Kontkanen
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 — conf
On the performance of histogram-based entropy estimators.
MLSP
Ciprian Doru Giurcaneanu, Panu Luosto, Petri Kontkanen
2011 J jnl
Clustgrams: an extension to histogram densities based on the minimum description length principle.
Central Eur. J. Comput. Sci.
Panu Luosto, Petri Kontkanen
2008 — conf
An Empirical Comparison of NML Clustering Algorithms.
ITSL
Petri Kontkanen, Petri Myllymäki
2007 J jnl
A linear-time algorithm for computing the multinomial stochastic complexity.
Inf. Process. Lett.
Petri Kontkanen, Petri Myllymäki
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
2005 A* conf
A Fast Normalized Maximum Likelihood Algorithm for Multinomial Data.
IJCAI
Petri Kontkanen, 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 A conf
Efficient Computing of Stochastic Complexity.
AISTATS
Petri Kontkanen, Wray L. Buntine, Petri Myllymäki, Jorma Rissanen, Henry Tirri
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 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