Science is to test crazy ideas, Engineering is to put these ideas into Business:
The Holzinger group is doing theoretical, algorithmical, and experimental studies to help to understand the problem of knowledge extraction from complex data to discover unknown unknowns. We try to help to answer a grand question: How can we perform a new task by exploiting knowledge extracted during problem solving of previous tasks. Contributions to this problem would have major impact to Artificial Intelligence generally, and Machine Learning specifically, as we could develop software which learns from previous experience – similarly as we humans do.
- Today the problem are heterogeneous, probabilistic, and complex data sets in arbitrarily high dimensions. The challenge of machine learning is to learn from prior data, to extract knowledge, to generalize, to make predictions, and to help to make decisions under uncertainty (see > Research statement).
- The Holzinger Group works persistently on a synergistic combination of methods from two areas, offering ideal conditions to help to solve such problems: Human-Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the goal of supporting human intelligence with computational intelligence.
- This needs an international concerted effort (see > Expert network) and education of a new kind of graduates (see > Teaching statement). Cross-domain approaches foster serendipity, cross-fertilize methodologies and insights, and ultimately transfer ideas into Business for the benefit of humans (see > Conference CD-MAKE).