Timo Koski

Publication Activity (10 Years)

Years Active: 1991-2022
Publications (10 Years): 6

Top Topics

Class Conditional

Probability Estimates

Conditional Independencies

Top Venues

Appl. Artif. Intell.

J. Informetrics

Publications

Jukka Corander, Ulpu Remes, Timo Koski
Likelihood-free Model Choice for Simulator-based Models with the Jensen-Shannon Divergence. CoRR (2022)
Jukka Corander, Ulpu Remes, Ida Holopainen, Timo Koski
Nonparametric likelihood-free inference with Jensen-Shannon divergence for simulator-based models with categorical output. CoRR (2022)
Fredrik Armerin, Jonas Hallgren, Timo Koski
Forecasting Ranking in Harness Racing Using Probabilities Induced by Expected Positions. Appl. Artif. Intell. 33 (2) (2019)
Yaqiong Cui, Jukka Sirén, Timo Koski, Jukka Corander
Simultaneous Predictive Gaussian Classifiers. J. Classif. 33 (1) (2016)
Henrik J. Nyman, Johan Pensar, Timo Koski, Jukka Corander
Context-specific independence in graphical log-linear models. Comput. Stat. 31 (4) (2016)
Timo Koski, Erik Sandström, Ulf Sandström
Towards field-adjusted production: Estimating research productivity from a zero-truncated distribution. J. Informetrics 10 (4) (2016)
Johan Pensar, Henrik J. Nyman, Timo Koski, Jukka Corander
Labeled directed acyclic graphs: a generalization of context-specific independence in directed graphical models. Data Min. Knowl. Discov. 29 (2) (2015)
Jukka Corander, Yaqiong Cui, Timo Koski, Jukka Sirén
Have I seen you before? Principles of Bayesian predictive classification revisited. Stat. Comput. 23 (1) (2013)
Johan Pensar, Henrik J. Nyman, Timo Koski, Jukka Corander
Labeled Directed Acyclic Graphs: a generalization of context-specific independence in directed graphical models. CoRR (2013)
Jukka Corander, Timo Koski, Tatjana Pavlenko, Annika Tillander
Bayesian Block-Diagonal Predictive Classifier for Gaussian Data. SMPS (2012)
Eugen Mikóczy, Sebastian Schumann, Pavol Podhradsky, Timo Koski, Marko Heinikangas
Hybrid IPTV Services with IMS: Integration of IMS Based IPTV with Broadcast and Unicast Mobile TV Services Using DVB-H. NGMAST (2011)
Jukka Corander, Yaqiong Cui, Timo Koski
Inductive Inference and Partition Exchangeability in Classification. Algorithmic Probability and Friends (2011)
Jukka Corander, Mats Gyllenberg, Timo Koski
Learning Genetic Population Structures Using Minimization of Stochastic Complexity. Entropy 12 (5) (2010)
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
Interoperability of IP Multimedia Subsystems: The NetLab Approach. WMNC/PWC (2009)
Jukka Corander, Mats Gyllenberg, Timo Koski
Bayesian unsupervised classification framework based on stochastic partitions of data and a parallel search strategy. Adv. Data Anal. Classif. 3 (1) (2009)
Jukka Corander, Magnus Ekdahl, Timo Koski
Bayesian Unsupervised Learning of DNA Regulatory Binding Regions. Adv. Artif. Intell. 2009 (2009)
Jukka Corander, Magnus Ekdahl, Timo Koski
Parallell interacting MCMC for learning of topologies of graphical models. Data Min. Knowl. Discov. 17 (3) (2008)
Magnus Ekdahl, Timo Koski
On Concentration of Discrete Distributions with Applications to Supervised Learning of Classifiers. MLDM (2007)
Jukka Corander, Mats Gyllenberg, Timo Koski
Bayesian model learning based on a parallel MCMC strategy. Stat. Comput. 16 (4) (2006)
Magnus Ekdahl, Timo Koski
Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation. J. Mach. Learn. Res. 7 (2006)
Ville-Veikko Rantanen, Mats Gyllenberg, Timo Koski, Mark S. Johnson
Contact Preferences in Molecular Recognition. J. Bioinform. Comput. Biol. 3 (4) (2005)
Harry Hurd, Timo Koski
The Wold isomorphism for cyclostationary sequences. Signal Process. 84 (5) (2004)
Ville-Veikko Rantanen, Mats Gyllenberg, Timo Koski, Mark S. Johnson
A Bayesian molecular interaction library. J. Comput. Aided Mol. Des. 17 (7) (2003)
Ville-Veikko Rantanen, Mats Gyllenberg, Timo Koski, Mark S. Johnson
A dissimilarity matrix between protein atom classes based on Gaussian mixtures. Bioinform. 18 (9) (2002)
Mats Gyllenberg, Timo Koski, T. Lund
Clustering by Adaptive Local Search with Multiple Search Operators. Pattern Anal. Appl. 3 (4) (2000)
Mats Gyllenberg, Timo Koski, T. Lund, Olli Nevalainen
On self-adaptation in multioperator local search. KES (2000)
Mats Gyllenberg, Timo Koski
On Predictive Classification of Binary Vectors. AISTATS (1997)
Martin Janzura, Timo Koski, Antonín Otáhal
Minimum entropy of error estimation for discrete random variables. IEEE Trans. Inf. Theory 42 (4) (1996)
Timo Koski
Statistics of the binary quantizer error in single-loop sigma-delta modulation with white Gaussian input. IEEE Trans. Inf. Theory 41 (4) (1995)
Martin Janzura, Timo Koski, Antonín Otáhal
Minimum Entropy of Error Principle in Estimation. Inf. Sci. 79 (1-2) (1994)
Nils Sundström, Ove Edfors, Per Ödling, Håkan B. Eriksson, Timo Koski, Per Ola Börjesson
Combined linear-Viterbi equalizers-a comparative study and a minimax design. VTC (1994)
Timo Koski, Lars-Erik Persson
Some properties of generalized exponential entropies with applications to data compression. Inf. Sci. 62 (1-2) (1992)
Timo Koski, Stamatis Cambanis
On the statistics of the error in predictive coding for stationary Ornstein-Uhlenbeck processes. IEEE Trans. Inf. Theory 38 (3) (1992)
Timo Koski, Lars-Erik Persson
On quantizer distortion and the upper bound for exponential entropy. IEEE Trans. Inf. Theory 37 (4) (1991)