Dynamic Parallel Schedules (DPS) is a flow graph based framework for developing parallel applications on clusters of workstations. The DPS flow graph execution model enables automa...
Sebastian Gerlach, Basile Schaeli, Roger D. Hersch
In supervised machine learning, variable ranking aims at sorting the input variables according to their relevance w.r.t. an output variable. In this paper, we propose a new relevan...
Parametric Embedding (PE) has recently been proposed as a general-purpose algorithm for class visualisation. It takes class posteriors produced by a mixture-based clustering algori...
Abstract. Clustering algorithms based on a matrix of pairwise similarities (kernel matrix) for the data are widely known and used, a particularly popular class being spectral clust...
Various problems in AI can be solved by translating them into a quantified boolean formula (QBF) and evaluating the resulting encoding. In this approach, a QBF solver is used as a ...