main webpage W Topic Algorithm arXiv (Cornell University) Obstructing Classification via Projection 2021 Machine learning and data mining techniques are effective tools to classify large amounts of data. But they tend to preserve any inherent bias in the data, for example, with regards to gender or race. Removing such bias from data or the learned representation… Article Open Algorithm Open Article Page

Algorithm

Sequence of operations for a task In mathematics and computer science, an algorithm ( ) is a finite sequence of mathematically rigorous instructions, typically used to solve a class of specific problems or to perform a computation. Algorithms are used as specifications for performing calculations and data processing. More advanced algorithms can use conditionals to divert the code execution through various routes (referred to as automated decision-making) and deduce valid inferences (referred to as automated reasoning). In contrast, a heuristic is an approach to solving problems without well- defined correct or optimal results. For example, although social media recommender systems are commonly called "algorithms", they actually rely on heuristics as there is no truly "correct" recommendation. Critical Symbolic Virtual Narrative Open Algorithm Open Article Page

Exploring foci of: arXiv (Cornell University) Obstructing Classification via Projection 2021 Machine learning and data mining techniques are effective tools to classify large amounts of data. But they tend to preserve any inherent bias in the data, for example, with regards to gender or race. Removing such bias from data or the learned representations is quite challenging. In this paper we study a geometric problem which models a possible approach for bias removal. Our input is a set of points P in Euclidean space R^d and each point is labeled with k binary-valued properties. A priori we assume that it is… Open Article Page

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Explore Algorithm W Topic Algorithm arXiv (Cornell University) Obstructing Classification via Projection 2021 Machine learning and data mining techniques are effective tools to classify large amounts of data. But they tend to preserve any inherent bias in the data, for example, with regards to gender or race. Removing such bias from data or the learned representation… Article Critical Symbolic Virtual Narrative Open Algorithm Open Article Page