This paper introduces the software framework MMER Lab which allows an effective assembly of modular signal processing systems optimized for memory efficiency and performance. Our...
Data flow models are used for specifying and analysing signal processing and streaming applications. However, traditional data flow models are either not capable of expressing t...
Bart D. Theelen, Marc Geilen, Twan Basten, Jeroen ...
The development of accurate models and efficient algorithms for the analysis of multivariate categorical data are important and longstanding problems in machine learning and compu...
Mohammad Emtiyaz Khan, Shakir Mohamed, Benjamin M....
We present an EM-algorithm for the problem of learning preferences with Gaussian processes in the context of multi-task learning. We validate our approach on an audiological data ...
The study of common, complex multifactorial diseases in genetic epidemiology is complicated by nonlinearity in the genotype-to-phenotype mapping relationship that is due, in part,...
Ryan J. Urbanowicz, Nate Barney, Bill C. White, Ja...