Timo Koski

According to our database1, Timo Koski authored at least 30 papers between 1991 and 2019.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Forecasting Ranking in Harness Racing Using Probabilities Induced by Expected Positions.
Applied Artificial Intelligence, 2019

2016
Towards field-adjusted production: Estimating research productivity from a zero-truncated distribution.
J. Informetrics, 2016

Context-specific independence in graphical log-linear models.
Comput. Stat., 2016

Simultaneous Predictive Gaussian Classifiers.
J. Classif., 2016

2015
Labeled directed acyclic graphs: a generalization of context-specific independence in directed graphical models.
Data Min. Knowl. Discov., 2015

2013
Have I seen you before? Principles of Bayesian predictive classification revisited.
Stat. Comput., 2013

2012
Bayesian Block-Diagonal Predictive Classifier for Gaussian Data.
Proceedings of the Synergies of Soft Computing and Statistics for Intelligent Data Analysis, 2012

2011
Hybrid IPTV Services with IMS: Integration of IMS Based IPTV with Broadcast and Unicast Mobile TV Services Using DVB-H.
Proceedings of the 5th International Conference on Next Generation Mobile Applications, 2011

Inductive Inference and Partition Exchangeability in Classification.
Proceedings of the Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, 2011

2010
Learning Genetic Population Structures Using Minimization of Stochastic Complexity.
Entropy, 2010

2009
Bayesian Unsupervised Learning of DNA Regulatory Binding Regions.
Adv. Artificial Intellegence, 2009

Bayesian unsupervised classification framework based on stochastic partitions of data and a parallel search strategy.
Adv. Data Anal. Classif., 2009

Interoperability of IP Multimedia Subsystems: The NetLab Approach.
Proceedings of the Wireless and Mobile Networking - Second IFIP WG 6.8 Joint Conference, 2009

2008
Parallell interacting MCMC for learning of topologies of graphical models.
Data Min. Knowl. Discov., 2008

2007
On Concentration of Discrete Distributions with Applications to Supervised Learning of Classifiers.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

2006
Bayesian model learning based on a parallel MCMC strategy.
Stat. Comput., 2006

Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation.
J. Mach. Learn. Res., 2006

2005
a Priori Contact Preferences in Molecular Recognition.
J. Bioinform. Comput. Biol., 2005

2004
The Wold isomorphism for cyclostationary sequences.
Signal Process., 2004

2003
A Bayesian molecular interaction library.
J. Comput. Aided Mol. Des., 2003

2002
A dissimilarity matrix between protein atom classes based on Gaussian mixtures.
Bioinform., 2002

2000
Clustering by Adaptive Local Search with Multiple Search Operators.
Pattern Anal. Appl., 2000

On self-adaptation in multioperator local search.
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

1996
Minimum entropy of error estimation for discrete random variables.
IEEE Trans. Inf. Theory, 1996

1995
Statistics of the binary quantizer error in single-loop sigma-delta modulation with white Gaussian input.
IEEE Trans. Inf. Theory, 1995

1994
Minimum Entropy of Error Principle in Estimation.
Inf. Sci., 1994

Combined linear-Viterbi equalizers-a comparative study and a minimax design.
Proceedings of 44th IEEE Vehicular Technology Conference: Creating Tomorrow's Mobile Systems, 1994

1992
On the statistics of the error in predictive coding for stationary Ornstein-Uhlenbeck processes.
IEEE Trans. Inf. Theory, 1992

Some properties of generalized exponential entropies with applications to data compression.
Inf. Sci., 1992

1991
On quantizer distortion and the upper bound for exponential entropy.
IEEE Trans. Inf. Theory, 1991


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