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Multiple Instance Learning with Trainable Soft Decision Tree Ensembles

A new random forest-based model for solving the Multiple Instance Learning problem under small tabular data, called the Soft Tree Ensemble Multiple Instance Learning, is proposed. A new type of soft decision trees is considered, which is similar to the well-known soft oblique trees, but with a small...

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Uloženo v:
Hlavní autoři: Andrei Konstantinov, Lev Utkin, Vladimir Muliukha
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2023-07-01
Edice:Algorithms
Témata:
multiple instance learning
decision tree
oblique tree
random forest
attention mechanism
neural network
On-line přístup:https://www.mdpi.com/1999-4893/16/8/358
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