Abstract: While state-of-the-art kernels for graphs with discrete labels scale well to graphs with thousands of nodes, the few existing kernels for graphs with continuous attributes, unfortunately, do ...

Consider an urn model where at each step one of q colors is sampled according to some probability distribution and a ball of that color is placed in an urn. The distribution of assigning balls to urns ...

Abstract: Graphs are essential to improve the performance of graph-based machine learning methods, such as spectral clustering. Various well-designed methods have been proposed to learn graphs that ...

Different types of graphs and charts are needed to present results from experiments. Graphs and charts need to be drawn and labelled correctly. Use patterns in the data to reach a conclusion in an ...

This course is available on the MSc in Applicable Mathematics. This course is available as an outside option to students on other programmes where regulations permit. Students should be taking the ...

Different types of graphs and charts are needed to present results from experiments. Graphs and charts need to be drawn and labelled correctly. Use patterns in the data to reach a conclusion in an ...