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Everything about Classifier chains
Classifier chains is a machine learning method for problem transformation in multi-label classification. It combines the computational efficiency of the binary relevance method while still being able to take the label dependencies into account for classification. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Classifier chainsA 5-minute orientation
- Skim a recent paper: Decomposition-Based Classifier Chains for Multi-Dimensional ClassificationInfluential work since 2022
- Pick up a classic book: Metastability and Markov state models in molecular dynamicsThe most-reprinted book on the subject
- Read the landmark paper: Classifier chains for multi-label classificationCited 1,834 times
- Go sideways: Multi-label classificationA closely related topic
- Go sideways: Preference learningA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Classifier chains for multi-label classification
Dealing with class imbalance in classifier chains via random undersampling
Classifier Chains: A Review and Perspectives
An improved SVM classifier based on double chains quantum genetic algorithm and its application in analogue circuit diagnosis
Efficient monte carlo methods for multi-dimensional learning with classifier chains
Scalable multi-output label prediction: From classifier chains to classifier trellises
Conditional entropy based classifier chains for multi-label classification
ECC + +: An algorithm family based on ensemble of classifier chains for classifying imbalanced multi-label data
🆕 Influential since 2022
Decomposition-Based Classifier Chains for Multi-Dimensional Classification
Ensemble of classifier chains and decision templates for multi-label classification
Tree-based dynamic classifier chains
Rectified Classifier Chains for Prediction of Antibiotic Resistance From Multi-Labelled Data With Missing Labels
Association Rules-Based Classifier Chains Method
📚 Books worth reading
- 📕Metastability and Markov state models in molecular dynamicsChristof Schütte · 2013
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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