Department of Computer Science
Mikko Koivisto's home page / Software

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Software

  • Junctor & Adjunct (Junction Trees Optimally and Recursively) – Programs for Bayesian learning of decomposable graphical models from complete data
    (c) 2015 K. Kangas, T. Niinimäki, M. Koivisto, HIIT and University of Helsinki. NIPS'14, UAI'15.

  • BOSON (Bucker Order Scheme for Optimal Networks) – A program for finding an optimal Bayesian network structure
    (c) 2013 P. Parviainen and M. Koivisto, HIIT and University of Helsinki. UAI'09, JMLR 2013.

  • BEANDisco (Bayesian Exact and Approximate Network Discovery) – A program for exact and approximate Bayesian structure discovery in Bayesian networks
    (c) 2011 T. Niinimäki, P. Parviainen, M. Koivisto, HIIT and University of Helsinki. AISTATS'10, UAI'11.

  • REBEL (Rapid Exact Bayesian Edge Learning) – A program for exact Bayesian structure discovery in Bayesian networks
    (c) 2006 M. Koivisto and K. Sood, HIIT Basic Research Unit, University of Helsinki. JMLR 2004, UAI'06.

  • HIT (Haplotype Inference Technique) – A program for reconstructing haplotypes from unphased genotype data using a hidden Markov model
    (c) 2005 P. Rastas, University of Helsinki. WABI'05.

  • MDLBlockFinderA Minimum Description Length -based method for the analysis of haplotype blocks
    (c) 2003 M. Koivisto, H. Mannila, M. Lukk, K. Sood, and E. Ukkonen. University of Helsinki and HIIT BRU. PSB'03.

Contact | Publications | Research | Software | Teaching

Last modified Nov 11, 2016.