Papers 2008-- :

• J. Corander, Y. Cui, & T. Koski: Inductive Inference and Partiton Exchangeability in Classifiction. Ray Solomonoff Conference, Lecture Notes in Computer Science (in press)

• J. Corander, Y. Cui, T. Koski & J. Siren: Have I Seen You Before ? Principles of Bayesian Predictive Classification Revisited. Statistics and Computing Link

• M. Ohlson & Koski, T. (2011). On the Distribution of Matrix Quadratic Forms. Accepted for publication in Communications in Statistics - Theory and Methods (CIS).

• J. Corander, M. Gyllenberg & T.Koski(2010): Learning Genetic Population Structures Using Minimization of Stochastic Complexity. Entropy; Link

• J. Corander, M.Ekdahl & T.Koski (2009): Bayesian Unsupervised Learning of DNA Regulatory Binding Regions (in Advances in Artificial Intelligence 2009) Link

• J. Corander, M.Gyllenberg & T.Koski (2009): Bayesian unsupervised classification framework based on stochastic partitions of data and a parallel search strategy (in Advances in Data Analysis and Classification 2009) Link

• J. Corander, M.Ekdahl & T.Koski (2008): Parallell interacting MCMC for learning of graph topologies (in Data Mining and Knowledge Discovery 2008) Link

A preprint on measurement of research productivity (2011):

• link to forskningspolitik

Papers (2003-2007) via LiU Research Database:

• The complete list (two pages) Link

Computer science library:

• Selected papers Link

Recent selected papers from LiU Research Database:

• M.Ekdahl & T.Koski (2007): On Concentration of Discrete Distributions with Applications to Supervised Learning of Classifiers Link

• J. Corander, M. Gyllenberg, & T.Koski (2007): Random Partition Models and Exchangeability for Bayesian Identification of Population StructureLink

• M.Ekdahl & T.Koski (2006): On Concentration of Discrete Distributions with Applications to Supervised Learning of ClassifiersBounds for the Loss in Probability of Correct Classification Under Model Based Approximation Link

Preprints/technical reports:

• Timo Koski and Roland Orre (1998): Statistics of the Information Component in Bayesian Neural Networks. pdf

• Mats Gyllenberg and Timo Koski (2001): Probabilistic Models for Bacterial Taxonomy Link

• Mats Gyllenberg, Timo Koski and Tatu Lund (2001): BinClass: A Software Package for Classifying Binary Vectors User's Guide Link

• Linus Göransson and Timo Koski (2002): Using a Dynamic Bayesian Network to Learn Genetic Interactions. pdf

• Mats Gyllenberg, Jonas Carlsson and Timo Koski (2002): Bayesian Network Classification of Binarized DNA Fingerprint Patterns. ps

• Harry Hurd and Timo Koski (2002): The Wold isomorphism for cyclostationary sequences. pdf

  
  

A news item from 'Microbiology` :

• pdf