806 citations · 1.1k across the 47 of their papers we have counts for
5 papers · 1 filter
Recurrent Adversarial Service Times
César Ojeda, Kostadin Cvejosky, Ramsés J. Sánchez +3
Service system dynamics occur at the interplay between customer behaviour and a service provider's response. This kind of dynamics can effectively be modeled within the framework o…
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems
Laura von Rueden, Sebastian Mayer, Katharina Beckh +11
Despite its great success, machine learning can have its limits when dealing with insufficient training data. A potential solution is the additional integration of prior knowledge…
Adiabatic Quantum Computing for Binary Clustering
Christian Bauckhage, Eduardo Brito, Kostadin Cvejoski +3
Quantum computing for machine learning attracts increasing attention and recent technological developments suggest that especially adiabatic quantum computing may soon be of practi…
k-Means Clustering Is Matrix Factorization
Christian Bauckhage
We show that the objective function of conventional k-means clustering can be expressed as the Frobenius norm of the difference of a data matrix and a low rank approximation of tha…
Propagation Kernels
Marion Neumann, Roman Garnett, Christian Bauckhage +1
We introduce propagation kernels, a general graph-kernel framework for efficiently measuring the similarity of structured data. Propagation kernels are based on monitoring how info…