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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Algorithms
المؤلفون الرئيسيون: Andrei Konstantinov, Lev Utkin, Vladimir Muliukha
التنسيق: مقال
اللغة:الإنجليزية
منشور في: MDPI AG 2023-07-01
الموضوعات:
multiple instance learning
decision tree
oblique tree
random forest
attention mechanism
neural network
الوصول للمادة أونلاين:https://www.mdpi.com/1999-4893/16/8/358

الانترنت

https://www.mdpi.com/1999-4893/16/8/358

مواد مشابهة