Petri Kontkanen

According to our database1, Petri Kontkanen authored at least 29 papers between 1996 and 2012.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2012
On the performance of histogram-based entropy estimators.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Construction of irregular histograms by penalized maximum likelihood: A comparative study.
Proceedings of the 2012 IEEE Information Theory Workshop, 2012

2011
Clustgrams: an extension to histogram densities based on the minimum description length principle.
Central Eur. J. Comput. Sci., 2011

2008
An Empirical Comparison of NML Clustering Algorithms.
Proceedings of the 2008 International Conference on Information Theory and Statistical Learning, 2008

2007
MDL Histogram Density Estimation.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

A linear-time algorithm for computing the multinomial stochastic complexity.
Inf. Process. Lett., 2007

NML Computation Algorithms for Tree-Structured Multinomial Bayesian Networks.
EURASIP J. Bioinform. Syst. Biol., 2007

On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter.
Proceedings of the UAI 2007, 2007

2005
A Fast Normalized Maximum Likelihood Algorithm for Multinomial Data.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

2004
Topics in probabilistic location estimation in wireless networks.
Proceedings of the IEEE 15th International Symposium on Personal, 2004

2003
Efficient Computing of Stochastic Complexity.
Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2001
Classifier Learning with Supervised Marginal Likelihood.
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Comparing Prequential Model Selection Criteria in Supervised Learning of Mixture Models.
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

2000
On predictive distributions and Bayesian networks.
Stat. Comput., 2000

Supervised model-based visualization of high-dimensional data.
Intell. Data Anal., 2000

Unsupervised Bayesian visualization of high-dimensional data.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

An Unsupervised Bayesian Distance Measure.
Proceedings of the Advances in Case-Based Reasoning, 5th European Workshop, 2000

1999
On Supervised Selection of Bayesian Networks.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Exploring the robustness of Bayesian and information-theoretic methods for predictive inference.
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1998
Minimum Encoding Approaches for Predictive Modeling.
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

BAYDA: Software for Bayesian Classification and Feature Selection.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

Comparing Soft Computing Methods in Prediction of Manufacturing Data.
Proceedings of the Tasks and Methods in Applied Artificial Intelligence, 1998

On Bayesian Case Matching.
Proceedings of the Advances in Case-Based Reasoning, 4th European Workshop, 1998

Bayesian and Information-Theories Priors for Bayesian Network Parameters.
Proceedings of the Machine Learning: ECML-98, 1998

Batch Classification with Discrete Finite Mixtures.
Proceedings of the Machine Learning: ECML-98, 1998

Bayes Optimal Instance-Based Learning.
Proceedings of the Machine Learning: ECML-98, 1998

1996
Predictive Data Mining with Finite Mixtures.
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Prababilistic Instance-Based Learning.
Proceedings of the Machine Learning, 1996

A Bayesian Framework for Case-Based Reasoning.
Proceedings of the Advances in Case-Based Reasoning, Third European Workshop, 1996


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