Machine learning programs

• LINUS
  With M. Grobelnik and N. Lavrac. An ILP system. Learns constrained logic programs.
  
  
• DINUS
  An ILP system. Successor of LINUS. Learns determinate logic programs.
  
  
• mFOIL
  An ILP systems designed to handle noisy examples.
  
  
• LAGRANGE
  With L. Todorovski. A machine discovery system.
  Learns polynomial algebraic, difference, or differential equations in implicit form, linear in the parameters.
  
  
• LAGRAMGE
  With L. Todorovski. A machine discovery system.
  Learns explicit equations (algebraic or differential) nonlinear in the parameters using background knowledge and declarative bias.
  
  
• MLC4.5 and MLJ4.8
  With L. Todorovski and B. Zenko, respectively. Learn to combine classifiers with meta decision trees.
  
  
• PADLES
  With L. Todorovski. Learns partial differential equations.
  
  
• LAGRAMGE 2.0
  With L. Todorovski. Learns process-based models of dynamic systems.
  
  
• CIPER
  With P. Ljubic and L. Todorovski. Heuristically searches for polynomial equations under constraints.