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Intrinsic Green's Learning: Supervised Learning on Manifolds via Inverse PDE
Alexandre Quemy
We introduce Intrinsic Green's Learning (IGL), a framework that models a target function on a manifold as the solution to a linear PDE whose source term is learned from data. Rathe…
Two-stage Optimization for Machine Learning Workflow
Alexandre Quemy
Machines learning techniques plays a preponderant role in dealing with massive amount of data and are employed in almost every possible domain. Building a high quality machine lear…
European Court of Human Right Open Data project
Alexandre Quemy
This paper presents thirteen datasets for binary, multiclass and multilabel classification based on the European Court of Human Rights judgments since its creation. The interest of…
Binary Classification in Unstructured Space With Hypergraph Case-Based Reasoning
Alexandre Quemy
Binary classification is one of the most common problem in machine learning. It consists in predicting whether a given element belongs to a particular class. In this paper, a new a…