In 2017, we organized an international conference on machine learning ECML PKDD 2017. The conference was held from September 18-22, 2017 in Skopje, Macedonia. This is a prestigious annual event, attended by 600 participants from around the world. There were 6 invited talks and around 100 paper and poster presentations. In addition, there were a number of accompanying events such as workshops, tutorials, an EU Projects forum and a PhD forum. More information on the conference can be found at the website http://ecmlpkdd2017.ijs.si/
B.01 Organiser of a scientific meeting
COBISS.SI-ID: 31153447Identifying a proper model structure, using methods that address both structural and parameter uncertainty, is a crucial problem within the systems approach to biology. And yet, it has a marginal presence in the recent literature. While many existing approaches integrate methods for simulation and parameter estimation of a single model to address parameter uncertainty, only few of them address structural uncertainty at the same time. The methods for handling structure uncertainty often oversimplify the problem by allowing the human modeler to explicitly enumerate a relatively small number of alternative model structures. On the other hand, process-based modeling methods provide flexible modular formalisms for specifying large classes of plausible model structures, but their scope is limited to deterministic models. Here, we aim at extending the scope of process-based modeling methods to inductively learn stochastic models from knowledge and data.
F.02 Acquisition of new scientific knowledge
COBISS.SI-ID: 29374503