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GitHub topics: weak-learning

DhruvSrikanth/Boosting-Theory

A collection of papers produced on the theory of boosting as applied to binary classification. Further extensions to the multi-class classification problem and necessary and sufficient conditions to ensure boostability i.e. weak learning conditions. Finally, an overview over boosting algorithms and models employed in industry.

Size: 638 KB - Last synced at: 11 days ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

mit-ll/Weak-Learning-Summarization

This repository contains scripts for a weak learning summarization pipeline in Arabic and English.

Language: Python - Size: 91.8 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Related Keywords
weak-learning 2 adaboost 1 binary-classification 1 boosting 1 boosting-algorithms 1 gradient-boosting 1 machine-learning 1 multi-class-classification 1 research-paper 1 weak-learning-conditions 1 xgboost 1 arabic-nlp 1 automatic-text-summarization 1 extractive-summarization 1 nlp 1 summarization 1