O.S. Balabanov

Knowledge discovery in data and causal models in analytical informatics

2017 · PROBLEMS IN PROGRAMMING

The methodology of inductive inference of causal models is briefly overviewed. We argue that causal networks, being recovered from data, are able to describe adequately a structure of influences in environment (object) at hand. It’s …

Principles and analytical tools for reconstruction of probabilistic dependency structures in special class

2017 · PROBLEMS IN PROGRAMMING

We examine a problem of reconstruction of dependency structure from data. It is assumed that model structure belongs to class of "mono-flow" graphs, which is a subclass of acyclonic digraph (known as DAGs) and is …