locations in it. Create a graph and return the optimized results as a np.array. To solve the discrete, I will have to form a graph multiple times with different noise factors depending on what the ...

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 ...

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 ...

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 ...

ABSTRACT: The Sylow graph of a finite group originates from recent investigations on certain classes of groups, defined in terms of normalizers of Sylow subgroups. The connectivity of this graph has ...

ABSTRACT: The Sylow graph of a finite group originates from recent investigations on certain classes of groups, defined in terms of normalizers of Sylow subgroups. The connectivity of this graph has ...

Abstract: Graph-based methods have demonstrated strong performance in multi-view clustering (MVC) due to their capability to capture complex data structures. Among these, discrete spectral embedding ...