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Everything about LPBoost
Supervised boosting classification model
Linear Programming Boosting (LPBoost) is a supervised classifier from the boosting family of classifiers. LPBoost maximizes a margin between training samples of different classes, and thus also belongs to the class of margin classifier algorithms. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: LPBoostA 5-minute orientation
- Read the landmark paper: Research on transformer fault diagnosis: Based on improved firefly algorithm optimized LPboost–classification and regression treeCited 14 times
- Go sideways: Kernel embedding of distributionsA closely related topic
- Go sideways: Tau function (integrable systems)A closely related topic
📖 Definitions
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🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Research on transformer fault diagnosis: Based on improved firefly algorithm optimized LPboost–classification and regression tree
Intrusion detection model using feature extraction and LPBoost technique
Data driven visual tracking via representation learning and online multi‐class LPBoost learning
Erratum: Research on transformer fault diagnosis: Based on improved firefly algorithm optimized LPboost–classification and regression tree
LPBoost with Strong Classifiers
LPBoost with Strong Classifiers
📚 Books worth reading
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