Institute of Information Theory and Automation

Mixtools: Toolbox for Decision Making with Mixtures

Mixtools is a toolbox designed for learning, prediction and control design with probability mixtures with a stress on fully probabilistic of strategies. The toolbox functions cover:

  • Initialization of mixture estimation.
  • Approximate mixture parameter estimation.
  • Prediction with mixtures.
  • Design of adaptive decision making strategies
  • Design of advisory systems
  • Visualization.

The toolbox functions offers the possibility of processing with high-dimensional data records, dynamic mixture components and extensive sets of learning data.

Contact:

Support of grants

  • Fully probabilistic design of dynamic decision strategies, Grant Agency of the Czech Republic, No. 102/08/0567, 2008-2011
  • Research center DAR, MŠMT 1M0572, 2005-2011
  • Dynamic clustering: theory, algorithms and software, Grant Agency of the Czech Republic No. 102/03/0049, 2002-2005
  • Dynamic clustering for control of complex processes, Academy of Sciences of the Czech Republic No. S1075351, 2002-2005

SVN repository (with password only):


Responsible for information: AS
Last modification: 26.10.2012
Institute of Information Theory and Automation