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An overview of inference methods in probabilistic classifier chains for multilabel classification

https://doi.org/10.1002/widm.1185
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/widm.1139openalex-snapshot
Multi‐label learning: a review of the state of the art and ongoing research
inferredcites →https://doi.org/10.1007/3-540-44794-6_4openalex-snapshot
Knowledge Discovery in Multi-label Phenotype Data
inferredcites →https://doi.org/10.1007/978-3-319-01595-8_18openalex-snapshot
On the Problem of Error Propagation in Classifier Chains for Multi-label Classification
inferredcites →https://doi.org/10.1007/978-3-540-24775-3_5openalex-snapshot
Discriminative Methods for Multi-labeled Classification
inferredcites →https://doi.org/10.1007/978-3-540-74958-5_38openalex-snapshot
Random k-Labelsets: An Ensemble Method for Multilabel Classification
inferredcites →https://doi.org/10.1007/978-3-642-04174-7_17openalex-snapshot
Classifier Chains for Multi-label Classification
inferredcites →https://doi.org/10.1007/978-3-642-04180-8_6openalex-snapshot
Combining Instance-Based Learning and Logistic Regression for Multilabel Classification
inferredcites →https://doi.org/10.1007/978-3-642-23783-6_31openalex-snapshot
Aggregating Independent and Dependent Models to Learn Multi-label Classifiers
inferredcites →https://doi.org/10.1007/978-3-642-33460-3_48openalex-snapshot
Learning and Inference in Probabilistic Classifier Chains with Beam Search
inferredcites →https://doi.org/10.1007/s10994-008-5064-8openalex-snapshot
Multilabel classification via calibrated label ranking
inferredcites →https://doi.org/10.1007/s10994-009-5127-5openalex-snapshot
Combining instance-based learning and logistic regression for multilabel classification
inferredcites →https://doi.org/10.1007/s10994-011-5256-5openalex-snapshot
Classifier chains for multi-label classification
inferredcites →https://doi.org/10.1007/s10994-012-5285-8openalex-snapshot
On label dependence and loss minimization in multi-label classification
inferredcites →https://doi.org/10.1007/s10994-013-5371-6openalex-snapshot
Beam search algorithms for multilabel learning
inferredcites →https://doi.org/10.1007/s13748-012-0030-xopenalex-snapshot
Binary relevance efficacy for multilabel classification
inferredcites →https://doi.org/10.1016/j.patcog.2013.09.029openalex-snapshot
Dependent binary relevance models for multi-label classification
inferredcites →https://doi.org/10.1016/j.patcog.2013.10.006openalex-snapshot
Efficient monte carlo methods for multi-dimensional learning with classifier chains
inferredcites →https://doi.org/10.1016/j.patcog.2015.01.004openalex-snapshot
Scalable multi-output label prediction: From classifier chains to classifier trellises
inferredcites →https://doi.org/10.1023/a:1007649029923openalex-snapshot
BoosTexter: A Boosting-based System for Text Categorization
inferredcites →https://doi.org/10.1109/icdm.2008.74openalex-snapshot
Multi-label Classification Using Ensembles of Pruned Sets
inferredcites →https://doi.org/10.1109/tkde.2006.162openalex-snapshot
Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization
inferredcites →https://doi.org/10.1145/1099554.1099591openalex-snapshot
Collective multi-label classification
inferredcites →https://doi.org/10.1145/1291233.1291245openalex-snapshot
Correlative multi-label video annotation
inferredcites →https://doi.org/10.1145/1390681.1390703openalex-snapshot
Trust Region Newton Method for Logistic Regression
inferredcites →https://doi.org/10.1175/1520-0493(1950)078<0001:vofeit>2.0.co;2openalex-snapshot
VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY
inferredcites →https://doi.org/10.3233/978-1-61499-098-7-294openalex-snapshot
An Analysis of Chaining in Multi-Label Classification
inferredcites →https://doi.org/10.5860/choice.48-5729openalex-snapshot
Data mining and knowledge discovery handbook
inferredcites →https://doi.org/10.7551/mitpress/1120.003.0092openalex-snapshot
A Kernel Method for Multi-Labelled Classification

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-01771-2_3openalex-snapshot
Dynamic Classifier Chain with Random Decision Trees
inferred← citeshttps://doi.org/10.1007/978-3-030-86772-0_30openalex-snapshot
Multi-label Chaining with Imprecise Probabilities
inferred← citeshttps://doi.org/10.1007/s10115-020-01436-5openalex-snapshot
Improving the $$\epsilon $$-approximate algorithm for Probabilistic Classifier Chains
inferred← citeshttps://doi.org/10.1007/s10618-026-01266-zopenalex-snapshot
Classifier chains for multi-label learning: a systematic review and taxonomy
inferred← citeshttps://doi.org/10.1007/s10994-016-5593-5openalex-snapshot
A family of admissible heuristics for A* to perform inference in probabilistic classifier chains
inferred← citeshttps://doi.org/10.1007/s10994-022-06162-3openalex-snapshot
Tree-based dynamic classifier chains
inferred← citeshttps://doi.org/10.1016/j.enbuild.2022.111836openalex-snapshot
A meta-learning classification model for supporting decisions on energy efficiency investments
inferred← citeshttps://doi.org/10.1016/j.knosys.2017.03.015openalex-snapshot
A heuristic in A* for inference in nonlinear Probabilistic Classifier Chains
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106709openalex-snapshot
Classifier chains for positive unlabelled multi-label learning
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.05.024openalex-snapshot
Probabilistic regressor chains with Monte Carlo methods
inferred← citeshttps://doi.org/10.1109/tencon.2019.8929317openalex-snapshot
Practical Significance of GA PartCC in Multi-Label Classification
inferred← citeshttps://doi.org/10.1109/tkde.2025.3545972openalex-snapshot
Estimating Multi-Label Expected Accuracy Using Labelset Distributions
inferred← citeshttps://doi.org/10.1155/2018/2814897openalex-snapshot
Feature Selection and Overlapping Clustering-Based Multilabel Classification Model
inferred← citeshttps://doi.org/10.14738/tmlai.63.4745openalex-snapshot
Classification of Encrypted Texts using Deep Learning
inferred← citeshttps://doi.org/10.1613/jair.1.12376openalex-snapshot
Classifier Chains: A Review and Perspectives
inferred← citeshttps://doi.org/10.70675/6ae98140z98d0z4673zabcbz21bc3ce86824openalex-snapshot
Classification multi-labels graduée : découverte des relations entre les labels, et adaptation à la reconnaissance des odeurs et au contexte big data des systèmes de recommandation
inferred← citeshttps://doi.org/10.70675/fbf4adc7z8dadz472cz907bz58ff540dacb8openalex-snapshot
Distributionally robust, skeptical inferences in supervised classification using imprecise probabilities
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