feature learning

Also known as representation learning

a set of techniques that learn a feature: a transformation of raw data input to a representation that can be effectively exploited in machine learning tasks

Research

159,141 papers

Orthogonal latent space learning with feature weighting and graph learning for multimodal Alzheimer's disease diagnosis.Medical image analysis · 2023
Effective Transfer Learning with Label-Based Discriminative Feature Learning.Sensors (Basel, Switzerland) · 2022
Microglia-derived ASC specks cross-seed amyloid-β in Alzheimer's disease.Nature · 2017
Learning the language of viral evolution and escape.Science (New York, N.Y.) · 2021
Active learning-assisted directed evolution.Nature communications · 2025

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artificial neural network

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transformer

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Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).

semi-supervised learning

weakly supervised learning

Entitydist 0.53

statistical classification

Entitydist 0.55

probably approximately correct learning

Sparse dictionary learning

Entitydist 0.62

data dredging

Entitydist 0.62

feature learning

Research

Available in 16 languages

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What links here221 pages