Timo Koski

Timo Koski, Sebastian Schumann, Pavol Podhradsky, 2011, 2011 Fifth International Conference on Next Generation Mobile Applications, Services and Technologies.

Probabilistic Models and Learning

Timo Koski, T. Koski, 2001 .

Bacterial identification using 16S rRNA fragments by hidden Markov models

Timo Koski, 2003 .

On the statistics of the error in predictive coding for stationary Ornstein-Uhlenbeck processes

Stamatis Cambanis, Timo Koski, 1992, IEEE Trans. Inf. Theory.

Hidden Markov Models: an Overview

Timo Koski, 2001 .

Bayesian Networks: An Introduction

John M. Noble, Timo Koski, T. Koski, 2009 .

On self-adaptation in multioperator local search

Mats Gyllenberg, Olli Nevalainen, Timo Koski, 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).

Bayesian Block-Diagonal Predictive Classifier for Gaussian Data

Tatjana Pavlenko, Jukka Corander, Timo Koski, 2012, SMPS.

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

Timo Koski, Ulf Sandström, Erik Sandström, 2016, J. Informetrics.

Clustering by Adaptive Local Search with Multiple Search Strategies

Mats Gyllenberg, Olli Nevalainen, Timo Koski, 1999 .

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

Jukka Corander, Timo Koski, Johan Pensar, 2013, Data Mining and Knowledge Discovery.

Some properties of generalized exponential entropies with applications to data compression

Lars-Erik Persson, Timo Koski, 1992, Inf. Sci..

Cyclostationary Arrays : Their Unitary Operators and Representations

Timo Koski, Harry L. Hurd, 2004 .

Derin’s Algorithm

Timo Koski, T. Koski, 2001 .

On measures of information for continuous stochastic processes

Timo Koski, Wilfried Loges, 1986 .

Kanban: periaatteita ja kokemuksia

Timo Koski, Timo Koski, 2012 .

The Wold isomorphism for cyclostationary sequences

Timo Koski, Harry Hurd, T. Koski, 2004, Signal Process..

Markovian Models for DNA sequences

Timo Koski, T. Koski, 2001 .

On The Statistics Of The Error In Predictive Coding For Stationary Ornstein-uhlenbeck Processes

Stamatis Cambanis, Timo Koski, T. Koski, 1991, Proceedings. 1991 IEEE International Symposium on Information Theory.

Bayesian Unsupervised Learning of DNA Regulatory Binding Regions

Jukka Corander, Timo Koski, Magnus Ekdahl, 2009, Adv. Artif. Intell..

Dynamic Bayesian networks in a study of genetic interactions

Timo Koski, 2003 .

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

Timo Koski, Magnus Ekdahl, 2007, MLDM.

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

Timo Koski, T. Koski, 1995, IEEE Trans. Inf. Theory.

On quantizer distortion and the upper bound for exponential entropy

Lars-Erik Persson, Timo Koski, T. Koski, 1991, IEEE Trans. Inf. Theory.

Inductive Inference and Partition Exchangeability in Classification

Jukka Corander, Timo Koski, Yaqiong Cui, 2011, Algorithmic Probability and Friends.

Wiley Series in Probability and Statistics

John M. Noble, Timo Koski, T. Koski, 2009 .

Sliding window discretization: A new method for multiple band matching of bacterial genotyping fingerprints

Mats Gyllenberg, Brian Austin, Timo Koski, 2004, Bulletin of mathematical biology.

A Bayesian molecular interaction library

Mats Gyllenberg, Timo Koski, Mark S. Johnson, 2003, J. Comput. Aided Mol. Des..

Bayesian model learning based on a parallel MCMC strategy

Mats Gyllenberg, Jukka Corander, Timo Koski, 2006, Stat. Comput..

Singling out Ill-fit Items in a Classification. Application to the Taxonomy of Enterobacteriaceae

Mats Gyllenberg, Heikki Mannila, Christopher Meek, 2000 .

BinClass: A Software Package for Classifying Binary Vectors User''s Guide

Mats Gyllenberg, Timo Koski, Tatu Lund, 2001 .

Minimum entropy of error estimation for discrete random variables

Martin Janzura, Timo Koski, Antonín Otáhal, 1996, IEEE Trans. Inf. Theory.

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

Mats Gyllenberg, Jukka Corander, Timo Koski, 2009, Adv. Data Anal. Classif..

Operator Specific Service Guide for content distribution in hybrid networks

Jarkko Paavola, Timo Koski, Alexey Dudkov, 2009, 2009 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting.

Clustering by Adaptive Local Search with Multiple Search Operators

Mats Gyllenberg, Timo Koski, T. Lund, 2000, Pattern Analysis & Applications.

Limit Points of Baum-Welch

Timo Koski, 2001 .

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

Per Ödling, Per Ola Börjesson, Ove Edfors, 1994, Proceedings of IEEE Vehicular Technology Conference (VTC).

Graphical Models and Probabilistic Reasoning

John M. Noble, Timo Koski, 2009 .

Population models with environmental stochasticity

Mats Gyllenberg, Timo Koski, Göran Högnäs, 1994 .

Sparse Markov Chains for Sequence Data: Sparse Markov models

Jukka Corander, Timo Koski, Jie Xiong, 2014 .

New methods for the analysis of binarized BIOLOG GN data of Vibrio species: minimization of stochastic complexity and cumulative classification.

Mats Gyllenberg, Brian Austin, Timo Koski, 2002, Systematic and applied microbiology.

Non-uniqueness of numerical taxonomic structures

Mats Gyllenberg, Timo Koski, Helge Gyllenberg, 1993 .

Enterobacteriaceae Taxonomy Approached by Minimization of Stochastic Complexity

Mats Gyllenberg, Timo Koski, Helge Gyllenberg, 1999 .

Decomposition Sampling applied to Parallelization of Metropolis-Hastings

Timo Koski, T. Koski, J. Hallgren, 2014, 1402.2828.

On the Distribution of Matrix Quadratic Forms

Timo Koski, Martin Singull, T. Koski, 2012 .

Application of sliding-window discretization and minimization of stochastic complexity for the analysis of fAFLP genotyping fingerprint patterns of Vibrionaceae.

Mats Gyllenberg, Brian Austin, Timo Koski, 2005, International journal of systematic and evolutionary microbiology.

Sparse Markov Chains for Sequence Data

Jukka Corander, Timo Koski, Jie Xiong, 2014 .

Numerical taxonomy and the principle of maximum entropy

Mats Gyllenberg, Timo Koski, T. Koski, 1996 .

The Minimal Hoppe-Beta Prior Distribution for Directed Acyclic Graphs and Structure Learning

John M. Noble, Timo Koski, Felix L. Rios, 2016 .

Stratified Graphical Models - Context-Specific Independence in Graphical Models

Jukka Corander, Timo Koski, Johan Pensar, 2013, 1309.6415.

An Assessment of Cumulative Classification

Mats Gyllenberg, Timo Koski, Helge Gyllenberg, 1999 .