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Timo Koski
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2020 – today
- 2022
- [i3]Jukka Corander, Ulpu Remes, Ida Holopainen, Timo Koski:
Nonparametric likelihood-free inference with Jensen-Shannon divergence for simulator-based models with categorical output. CoRR abs/2205.10890 (2022) - [i2]Jukka Corander, Ulpu Remes, Timo Koski:
Likelihood-free Model Choice for Simulator-based Models with the Jensen-Shannon Divergence. CoRR abs/2206.04110 (2022)
2010 – 2019
- 2019
- [j23]Fredrik Armerin
, Jonas Hallgren, Timo Koski:
Forecasting Ranking in Harness Racing Using Probabilities Induced by Expected Positions. Appl. Artif. Intell. 33(2): 171-189 (2019) - 2016
- [j22]Yaqiong Cui, Jukka Sirén
Simultaneous Predictive Gaussian Classifiers. J. Classif. 33(1): 73-102 (2016) - [j21]Henrik J. Nyman, Johan Pensar
Context-specific independence in graphical log-linear models. Comput. Stat. 31(4): 1493-1512 (2016) - [j20]Timo Koski
Towards field-adjusted production: Estimating research productivity from a zero-truncated distribution. J. Informetrics 10(4): 1143-1152 (2016) - 2015
- [j19]Johan Pensar
Labeled directed acyclic graphs: a generalization of context-specific independence in directed graphical models. Data Min. Knowl. Discov. 29(2): 503-533 (2015) - 2013
- [j18]Jukka Corander, Yaqiong Cui, Timo Koski, Jukka Sirén
Have I seen you before? Principles of Bayesian predictive classification revisited. Stat. Comput. 23(1): 59-73 (2013) - [i1]Johan Pensar, Henrik J. Nyman, Timo Koski, Jukka Corander:
Labeled Directed Acyclic Graphs: a generalization of context-specific independence in directed graphical models. CoRR abs/1310.1187 (2013) - 2012
- [c8]Jukka Corander, Timo Koski, Tatjana Pavlenko, Annika Tillander:
Bayesian Block-Diagonal Predictive Classifier for Gaussian Data. SMPS 2012: 543-551 - 2011
- [c7]Jukka Corander, Yaqiong Cui, Timo Koski:
Inductive Inference and Partition Exchangeability in Classification. Algorithmic Probability and Friends 2011: 91-105 - [c6]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: 76-81 - 2010
- [j17]Jukka Corander, Mats Gyllenberg
Learning Genetic Population Structures Using Minimization of Stochastic Complexity. Entropy 12(5): 1102-1124 (2010)
2000 – 2009
- 2009
- [j16]Jukka Corander, Mats Gyllenberg
Bayesian unsupervised classification framework based on stochastic partitions of data and a parallel search strategy. Adv. Data Anal. Classif. 3(1): 3-24 (2009) - [j15]Jukka Corander, Magnus Ekdahl, Timo Koski:
Bayesian Unsupervised Learning of DNA Regulatory Binding Regions. Adv. Artif. Intell. 2009: 219743:1-219743:11 (2009) - [c5]Andrés Marín López, Daniel Díaz Sánchez
Interoperability of IP Multimedia Subsystems: The NetLab Approach. WMNC/PWC 2009: 20-31 - 2008
- [j14]Jukka Corander, Magnus Ekdahl, Timo Koski:
Parallell interacting MCMC for learning of topologies of graphical models. Data Min. Knowl. Discov. 17(3): 431-456 (2008) - 2007
- [c4]Magnus Ekdahl, Timo Koski:
On Concentration of Discrete Distributions with Applications to Supervised Learning of Classifiers. MLDM 2007: 2-16 - 2006
- [j13]Magnus Ekdahl, Timo Koski:
Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation. J. Mach. Learn. Res. 7: 2449-2480 (2006) - [j12]Jukka Corander, Mats Gyllenberg
Bayesian model learning based on a parallel MCMC strategy. Stat. Comput. 16(4): 355-362 (2006) - 2005
- [j11]Ville-Veikko Rantanen, Mats Gyllenberg
a Priori Contact Preferences in Molecular Recognition. J. Bioinform. Comput. Biol. 3(4): 861-890 (2005) - 2004
- [j10]Harry Hurd, Timo Koski:
The Wold isomorphism for cyclostationary sequences. Signal Process. 84(5): 813-824 (2004) - 2003
- [j9]Ville-Veikko Rantanen, Mats Gyllenberg
A Bayesian molecular interaction library. J. Comput. Aided Mol. Des. 17(7): 435-461 (2003) - 2002
- [j8]Ville-Veikko Rantanen, Mats Gyllenberg
A dissimilarity matrix between protein atom classes based on Gaussian mixtures. Bioinform. 18(9): 1257-1263 (2002) - 2000
- [j7]Mats Gyllenberg
Clustering by Adaptive Local Search with Multiple Search Operators. Pattern Anal. Appl. 3(4): 348-357 (2000) - [c3]Mats Gyllenberg
On self-adaptation in multioperator local search. KES 2000: 181-184
1990 – 1999
- 1997
- [c2]Mats Gyllenberg, Timo Koski:
On Predictive Classification of Binary Vectors. AISTATS 1997: 239-242 - 1996
- [j6]Martin Janzura, Timo Koski, Antonín Otáhal:
Minimum entropy of error estimation for discrete random variables. IEEE Trans. Inf. Theory 42(4): 1193-1201 (1996) - 1995
- [j5]Timo Koski:
Statistics of the binary quantizer error in single-loop sigma-delta modulation with white Gaussian input. IEEE Trans. Inf. Theory 41(4): 931-943 (1995) - 1994
- [j4]Martin Janzura, Timo Koski, Antonín Otáhal:
Minimum Entropy of Error Principle in Estimation. Inf. Sci. 79(1-2): 123-144 (1994) - [c1]Nils Sundström, Ove Edfors
Combined linear-Viterbi equalizers-a comparative study and a minimax design. VTC 1994: 1263-1267 - 1992
- [j3]Timo Koski, Lars-Erik Persson:
Some properties of generalized exponential entropies with applications to data compression. Inf. Sci. 62(1-2): 103-132 (1992) - [j2]Timo Koski, Stamatis Cambanis:
On the statistics of the error in predictive coding for stationary Ornstein-Uhlenbeck processes. IEEE Trans. Inf. Theory 38(3): 1029-1040 (1992) - 1991
- [j1]Timo Koski, Lars-Erik Persson:
On quantizer distortion and the upper bound for exponential entropy. IEEE Trans. Inf. Theory 37(4): 1168-1172 (1991)
Coauthor Index
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