Article

Unsupervised deep learning on biomedical data with BoltzmannMachines.jl

2019-03-20

Abstract excerpt

Deep Boltzmann machines (DBMs) are models for unsupervised learning in the field of artificial intelligence, promising to be useful for dimensionality reduction and pattern detection in clinical and genomic data. Multimodal and partitioned DBMs alleviate the problem of small sample sizes and make it possible to combine different input data types in one DBM model. We present the package “BoltzmannMachines” for the...

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Literature Corpus work: 2a3e3310-ae52-5ffa-87b6-077f45efd429
DOI: 10.1101/578252

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