Timo Koski

34 papers A 1B 2Journal 26Unranked 5
YearRankTypeTitle / Venue / Authors
2022 J jnl
Likelihood-free Model Choice for Simulator-based Models with the Jensen-Shannon Divergence.
CoRR
Jukka Corander, Ulpu Remes, Timo Koski
2022 J jnl
Nonparametric likelihood-free inference with Jensen-Shannon divergence for simulator-based models with categorical output.
CoRR
Jukka Corander, Ulpu Remes, Ida Holopainen, Timo Koski
2021 J jnl
On the Jensen-Shannon divergence and the variation distance for categorical probability distributions.
Kybernetika
Jukka Corander, Ulpu Remes, Timo Koski
2019 J jnl
Forecasting Ranking in Harness Racing Using Probabilities Induced by Expected Positions.
Appl. Artif. Intell.
Fredrik Armerin, Jonas Hallgren, Timo Koski
2016 J jnl
Context-specific independence in graphical log-linear models.
Comput. Stat.
Henrik J. Nyman, Johan Pensar, Timo Koski, Jukka Corander
2016 J jnl
Simultaneous Predictive Gaussian Classifiers.
J. Classif.
Yaqiong Cui, Jukka Sirén, Timo Koski, Jukka Corander
2016 J jnl
Towards field-adjusted production: Estimating research productivity from a zero-truncated distribution.
J. Informetrics
Timo Koski, Erik Sandström, Ulf Sandström
2015 J jnl
Labeled directed acyclic graphs: a generalization of context-specific independence in directed graphical models.
Data Min. Knowl. Discov.
Johan Pensar, Henrik J. Nyman, Timo Koski, Jukka Corander
2013 J jnl
Have I seen you before? Principles of Bayesian predictive classification revisited.
Stat. Comput.
Jukka Corander, Yaqiong Cui, Timo Koski, Jukka Sirén
2013 J jnl
Labeled Directed Acyclic Graphs: a generalization of context-specific independence in directed graphical models.
CoRR
Johan Pensar, Henrik J. Nyman, Timo Koski, Jukka Corander
2012 — conf
Bayesian Block-Diagonal Predictive Classifier for Gaussian Data.
SMPS
Jukka Corander, Timo Koski, Tatjana Pavlenko, Annika Tillander
2011 — conf
Hybrid IPTV Services with IMS: Integration of IMS Based IPTV with Broadcast and Unicast Mobile TV Services Using DVB-H.
NGMAST
Eugen Mikóczy, Sebastian Schumann, Pavol Podhradsky, Timo Koski, Marko Heinikangas
2011 — conf
Inductive Inference and Partition Exchangeability in Classification.
Algorithmic Probability and Friends
Jukka Corander, Yaqiong Cui, Timo Koski
2010 J jnl
Learning Genetic Population Structures Using Minimization of Stochastic Complexity.
Entropy
Jukka Corander, Mats Gyllenberg, Timo Koski
2009 J jnl
Bayesian Unsupervised Learning of DNA Regulatory Binding Regions.
Adv. Artif. Intell.
Jukka Corander, Magnus Ekdahl, Timo Koski
2009 J jnl
Bayesian unsupervised classification framework based on stochastic partitions of data and a parallel search strategy.
Adv. Data Anal. Classif.
Jukka Corander, Mats Gyllenberg, Timo Koski
2009 — conf
Interoperability of IP Multimedia Subsystems: The NetLab Approach.
WMNC/PWC
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
2008 J jnl
Parallell interacting MCMC for learning of topologies of graphical models.
Data Min. Knowl. Discov.
Jukka Corander, Magnus Ekdahl, Timo Koski
2007 — conf
On Concentration of Discrete Distributions with Applications to Supervised Learning of Classifiers.
MLDM
Magnus Ekdahl, Timo Koski
2006 J jnl
Bayesian model learning based on a parallel MCMC strategy.
Stat. Comput.
Jukka Corander, Mats Gyllenberg, Timo Koski
2006 J jnl
Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation.
J. Mach. Learn. Res.
Magnus Ekdahl, Timo Koski
2004 J jnl
The Wold isomorphism for cyclostationary sequences.
Signal Process.
Harry Hurd, Timo Koski
2003 J jnl
A Bayesian molecular interaction library.
J. Comput. Aided Mol. Des.
Ville-Veikko Rantanen, Mats Gyllenberg, Timo Koski, Mark S. Johnson
2002 J jnl
A dissimilarity matrix between protein atom classes based on Gaussian mixtures.
Bioinform.
Ville-Veikko Rantanen, Mats Gyllenberg, Timo Koski, Mark S. Johnson
2000 J jnl
Clustering by Adaptive Local Search with Multiple Search Operators.
Pattern Anal. Appl.
Mats Gyllenberg, Timo Koski, T. Lund
2000 B conf
On self-adaptation in multioperator local search.
KES
Mats Gyllenberg, Timo Koski, T. Lund, Olli Nevalainen
1997 A conf
On Predictive Classification of Binary Vectors.
AISTATS
Mats Gyllenberg, Timo Koski
1996 J jnl
Minimum entropy of error estimation for discrete random variables.
IEEE Trans. Inf. Theory
Martin Janzura, Timo Koski, Antonín Otáhal
1995 J jnl
Statistics of the binary quantizer error in single-loop sigma-delta modulation with white Gaussian input.
IEEE Trans. Inf. Theory
Timo Koski
1994 B conf
Combined linear-Viterbi equalizers-a comparative study and a minimax design.
VTC
Nils Sundström, Ove Edfors, Per Ödling, Håkan B. Eriksson, Timo Koski, Per Ola Börjesson
1994 J jnl
Minimum Entropy of Error Principle in Estimation.
Inf. Sci.
Martin Janzura, Timo Koski, Antonín Otáhal
1992 J jnl
On the statistics of the error in predictive coding for stationary Ornstein-Uhlenbeck processes.
IEEE Trans. Inf. Theory
Timo Koski, Stamatis Cambanis
1992 J jnl
Some properties of generalized exponential entropies with applications to data compression.
Inf. Sci.
Timo Koski, Lars-Erik Persson
1991 J jnl
On quantizer distortion and the upper bound for exponential entropy.
IEEE Trans. Inf. Theory
Timo Koski, Lars-Erik Persson