Probabilistic modelling of text data in the bagof-words representation has been dominated by directed graphical models such as pLSI, LDA, NMF, and discrete PCA. Recently, state of...
We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...
If a video camera recognizes and records affective data from the camera operator, this data can help determine which sequences will be interesting to the camera operator at a late...
We propose to demonstrate Fa, an automated tool for timely and accurate prediction of Service-Level-Agreement (SLA) violations caused by performance problems in database systems. ...
Ontologies are increasingly used to represent the intended real-world semantics of data and services in information systems. Unfortunately, different data sources often do not rel...
Patrick Ziegler, Christoph Kiefer, Christoph Sturm...