Timo Koski

According to our database, Timo Koski authored at least 33 papers between 1991 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Likelihood-free Model Choice for Simulator-based Models with the Jensen-Shannon Divergence.

Jukka Corander, Ulpu Remes, Timo Koski

CoRR, 2022

Nonparametric likelihood-free inference with Jensen-Shannon divergence for simulator-based models with categorical output.

Jukka Corander, Ulpu Remes, Ida Holopainen, Timo Koski

CoRR, 2022

2019

Forecasting Ranking in Harness Racing Using Probabilities Induced by Expected Positions.

Fredrik Armerin, Jonas Hallgren, Timo Koski

Appl. Artif. Intell., 2019

2016

Towards field-adjusted production: Estimating research productivity from a zero-truncated distribution.

Timo Koski, Erik Sandström, Ulf Sandström

J. Informetrics, 2016

Context-specific independence in graphical log-linear models.

Henrik J. Nyman, Johan Pensar, Timo Koski, Jukka Corander

Comput. Stat., 2016

Simultaneous Predictive Gaussian Classifiers.

Yaqiong Cui, Jukka Sirén, Timo Koski, Jukka Corander

J. Classif., 2016

2015

Labeled directed acyclic graphs: a generalization of context-specific independence in directed graphical models.

Johan Pensar, Henrik J. Nyman, Timo Koski, Jukka Corander

Data Min. Knowl. Discov., 2015

2013

Have I seen you before? Principles of Bayesian predictive classification revisited.

Jukka Corander, Yaqiong Cui, Timo Koski, Jukka Sirén

Stat. Comput., 2013

2012

Bayesian Block-Diagonal Predictive Classifier for Gaussian Data.

Jukka Corander, Timo Koski, Tatjana Pavlenko, Annika Tillander

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.

Eugen Mikóczy, Sebastian Schumann, Pavol Podhradsky, Timo Koski, Marko Heinikangas

Proceedings of the 5th International Conference on Next Generation Mobile Applications, 2011

Inductive Inference and Partition Exchangeability in Classification.

Jukka Corander, Yaqiong Cui, Timo Koski

Proceedings of the Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, 2011

2010

Learning Genetic Population Structures Using Minimization of Stochastic Complexity.

Jukka Corander, Mats Gyllenberg, Timo Koski

Entropy, 2010

2009

Bayesian Unsupervised Learning of DNA Regulatory Binding Regions.

Jukka Corander, Magnus Ekdahl, Timo Koski

Adv. Artif. Intell., 2009

Bayesian unsupervised classification framework based on stochastic partitions of data and a parallel search strategy.

Jukka Corander, Mats Gyllenberg, Timo Koski

Adv. Data Anal. Classif., 2009

Interoperability of IP Multimedia Subsystems: The NetLab Approach.

Andrés Marín López, Daniel Díaz Sánchez, Florina Almenárez Mendoza, Francisco Rodríguez García, Joaquín López Rizaldos, Alfonso Cubero Vega, Itziar Ormaetxea, Juan Luis Lopez, Sergio Fernández, Fernando Ortigosa, Ivan Kotuliak, Eugen Mikóczy, Timo Lahnalampi, Timo Koski, Sussana Avessta

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.

Jukka Corander, Magnus Ekdahl, Timo Koski

Data Min. Knowl. Discov., 2008

2007

On Concentration of Discrete Distributions with Applications to Supervised Learning of Classifiers.

Magnus Ekdahl, Timo Koski

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

2006

Bayesian model learning based on a parallel MCMC strategy.

Jukka Corander, Mats Gyllenberg, Timo Koski

Stat. Comput., 2006

Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation.

Magnus Ekdahl, Timo Koski

J. Mach. Learn. Res., 2006

2005

<i>a Priori</i> Contact Preferences in Molecular Recognition.

Ville-Veikko Rantanen, Mats Gyllenberg, Timo Koski, Mark S. Johnson

J. Bioinform. Comput. Biol., 2005

2004

The Wold isomorphism for cyclostationary sequences.

Harry Hurd, Timo Koski

Signal Process., 2004

2003

A Bayesian molecular interaction library.

Ville-Veikko Rantanen, Mats Gyllenberg, Timo Koski, Mark S. Johnson

J. Comput. Aided Mol. Des., 2003

2002

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

Ville-Veikko Rantanen, Mats Gyllenberg, Timo Koski, Mark S. Johnson

Bioinform., 2002

2000

Clustering by Adaptive Local Search with Multiple Search Operators.

Mats Gyllenberg, Timo Koski, T. Lund

Pattern Anal. Appl., 2000

On self-adaptation in multioperator local search.

Mats Gyllenberg, Timo Koski, T. Lund, Olli Nevalainen

Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

1997

On Predictive Classification of Binary Vectors.

Mats Gyllenberg, Timo Koski

Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, 1997

1996

Minimum entropy of error estimation for discrete random variables.

Martin Janzura, Timo Koski, Antonín Otáhal

IEEE Trans. Inf. Theory, 1996

1995

Statistics of the binary quantizer error in single-loop sigma-delta modulation with white Gaussian input.

Timo Koski

IEEE Trans. Inf. Theory, 1995

1994

Minimum Entropy of Error Principle in Estimation.

Martin Janzura, Timo Koski, Antonín Otáhal

Inf. Sci., 1994

Combined linear-Viterbi equalizers-a comparative study and a minimax design.

Nils Sundström, Ove Edfors, Per Ödling, Håkan B. Eriksson, Timo Koski, Per Ola Börjesson

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.

Timo Koski, Stamatis Cambanis

IEEE Trans. Inf. Theory, 1992

Some properties of generalized exponential entropies with applications to data compression.

Timo Koski, Lars-Erik Persson

Inf. Sci., 1992

1991

On quantizer distortion and the upper bound for exponential entropy.

Timo Koski, Lars-Erik Persson

IEEE Trans. Inf. Theory, 1991