We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...
We propose a new hierarchical Bayesian n-gram model of natural languages. Our model makes use of a generalization of the commonly used Dirichlet distributions called Pitman-Yor pr...
The traditional workflow process model is typically illustrated with a graph of activities, tasks, deliverables and techniques. From an object-oriented perspective, every identifi...
Organizations often change their business processes. These changes lead to adjustments in the business process support (BPS) system. The impact of a change in a business process ma...
It is widely accepted practice to build domain models as a conceptual basis for software systems. Normally, the conceptual schema cannot be supplied by domain experts but is constr...
Sebastian Bossung, Hans-Werner Sehring, Henner Car...