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Classification with Similarity Metrics
Data scientist in Basel
3071
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Topic

Classification

Classifiers, which are studied in AI and cognitive science, often employ similarity metrics

Setup

SNF

Part of the Swiss National Science Foundation (SNF) Doc.CH. Project New Approaches to Cognition

Design

R

Realized in R-Statistics, Python, and C++

Classification with Similarity Metrics

Finding out which similarity metric leads to human-like classification performance.

Classifying objects—assigning them to a category—is a common task for humans and AI (Artificial Intelligence). Often, classification has been based on the similarity between a new to-be-classified object and the known objects that belong to a class. However, this similarity between objects can be computed in various ways. This project develops and tests mathematical machine-learning methods for computing similarities in classifiers.

You can read the scientific paper in Cognition and the first Version on PsychArXiv.

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