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— In this paper, we present an augmentation to an existing machine learning algorithm used to predict the outcome of a DotA2 match and as a hero recommender in a recommendation engine. We briefly discuss existing work on DotA2 recommendation engines as well another effort in applying traditional machine learning algorithms to predict its outcome. We then(More)
Given a set of alternatives and some pairwise comparison values, ranking is a least squares computation on a graph. The graph vertices are the alternatives, with a weighted oriented edge between each pair for which there is a pairwise score. The orientations are arbitrary. The set of edges may be sparse or dense. The basic idea of the computation is very(More)
—There are several classes of operators on graphs to consider in deciding on a collection of building blocks for graph algorithms. One class involves traditional graph operations such as breadth first or depth first search, finding connected components, spanning trees, cliques and other subgraphs, operations for editing graphs and so on. Another class(More)
There are very few results on mixed finite element methods on surfaces. A theory for the study of such methods was given recently by Holst and Stern, using a variational crimes framework in the context of finite element exterior calculus. However, we are not aware of any numerical experiments where mixed finite elements derived from discretizations of(More)
We give new algorithms for computing basis cochains for real-valued homology, cohomology, and harmonic cochains on manifold simplicial complexes. We discuss only planar, surface, and solid meshes. Our algorithms are based on a least squares formulation. Previous methods for computing homology and cohomology have relied on persistence algorithm or Smith(More)
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