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TreeBoost.MH: A Boosting Algorithm for Multi-label Hierarchical Text Categorization

https://doi.org/10.1007/11880561_2
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What this work says

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

inferredcites →https://doi.org/10.1007/11880561_1openalex-snapshot
MP-Boost: A Multiple-Pivot Boosting Algorithm and Its Application to Text Categorization
inferredcites →https://doi.org/10.1007/3-540-45357-1_46openalex-snapshot
Hierarchical Classification of Documents with Error Control
inferredcites →https://doi.org/10.1007/3-540-45886-7_16openalex-snapshot
A Hierarchical Model for Clustering and Categorising Documents
inferredcites →https://doi.org/10.1007/s007780050061openalex-snapshot
Scalable feature selection, classification and signature generation for organizing large text databases into hierarchical topic taxonomies
inferredcites →https://doi.org/10.1023/a:1007614523901openalex-snapshot
Improved Boosting Algorithms Using Confidence-rated Predictions
inferredcites →https://doi.org/10.1023/a:1007649029923openalex-snapshot
BoosTexter: A Boosting-based System for Text Categorization
inferredcites →https://doi.org/10.1023/a:1009983522080openalex-snapshot
Exploiting Hierarchy in Text Categorization
inferredcites →https://doi.org/10.1023/a:1012782908347openalex-snapshot
Hierarchical Text Categorization Using Neural Networks
inferredcites →https://doi.org/10.1023/a:1013677411002openalex-snapshot
A Probabilistic Framework for the Hierarchic Organisation and Classification of Document Collections
inferredcites →https://doi.org/10.1145/1015330.1015356openalex-snapshot
A pitfall and solution in multi-class feature selection for text classification
inferredcites →https://doi.org/10.1145/183422.183423openalex-snapshot
Automated learning of decision rules for text categorization
inferredcites →https://doi.org/10.1145/258525.258537openalex-snapshot
Feature selection, perception learning, and a usability case study for text categorization
inferredcites →https://doi.org/10.1145/278459.258537openalex-snapshot
Feature selection, perceptron learning, and a usability case study for text categorization
inferredcites →https://doi.org/10.1145/279943.279960openalex-snapshot
Improved boosting algorithms using confidence-rated predictions
inferredcites →https://doi.org/10.1145/290941.290996openalex-snapshot
Boosting and Rocchio applied to text filtering
inferredcites →https://doi.org/10.1145/345508.345593openalex-snapshot
Hierarchical classification of Web content
inferredcites →https://doi.org/10.1145/502585.502604openalex-snapshot
Text classification in a hierarchical mixture model for small training sets
inferredcites →https://doi.org/10.1145/860435.860455openalex-snapshot
A scalability analysis of classifiers in text categorization
inferredcites →https://doi.org/10.1184/r1/21708647openalex-snapshot
Improving Text Classification by Shrinkage in a Hierarchy of Classes
inferredcites →https://doi.org/10.5555/1005332.1005345openalex-snapshot
RCV1: A New Benchmark Collection for Text Categorization Research

What points at this work

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

inferred← citeshttps://doi.org/10.1002/widm.1139openalex-snapshot
Multi‐label learning: a review of the state of the art and ongoing research
inferred← citeshttps://doi.org/10.1007/978-3-319-14364-4_10openalex-snapshot
Thresholding a Random Forest Classifier
inferred← citeshttps://doi.org/10.1007/978-3-642-04235-5_19openalex-snapshot
Automatically Determining Attitude Type and Force for Sentiment Analysis
inferred← citeshttps://doi.org/10.1007/s10489-021-02220-wopenalex-snapshot
IFTA: Iterative filtering by using TF-AICL algorithm for Chinese encyclopedia knowledge refinement
inferred← citeshttps://doi.org/10.1109/icosc.2015.7050838openalex-snapshot
Hierarchical learning of tree classifiers for large-scale plant species identification
inferred← citeshttps://doi.org/10.1109/sbrn.2010.51openalex-snapshot
Hierarchical Multilabel Classification Using Top-Down Label Combination and Artificial Neural Networks
inferred← citeshttps://doi.org/10.1109/tip.2008.916999openalex-snapshot
Integrating Concept Ontology and Multitask Learning to Achieve More Effective Classifier Training for Multilevel Image Annotation
inferred← citeshttps://doi.org/10.1109/tip.2015.2457337openalex-snapshot
Hierarchical Learning of Tree Classifiers for Large-Scale Plant Species Identification
inferred← citeshttps://doi.org/10.1109/tip.2017.2667405openalex-snapshot
HD-MTL: Hierarchical Deep Multi-Task Learning for Large-Scale Visual Recognition
inferred← citeshttps://doi.org/10.1145/1458082.1458097openalex-snapshot
Error-driven generalist+experts (edge)
inferred← citeshttps://doi.org/10.11606/d.55.2010.tde-06042010-151017openalex-snapshot
Técnicas de classificação hierárquica multirrótulo
inferred← citeshttps://doi.org/10.1162/coli.2010.36.1.36101openalex-snapshot
A Graph-Theoretic Framework for Semantic Distance
inferred← citeshttps://doi.org/10.20868/upm.thesis.37871openalex-snapshot
New definitions of margin for multi-class Boosting algorithms
inferred← citeshttps://doi.org/10.2298/csis170115043sopenalex-snapshot
HMC-ReliefF: Feature ranking for hierarchical multi-label classification
inferred← citeshttps://doi.org/10.3233/ida-2011-0500openalex-snapshot
Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification
inferred← citeshttps://doi.org/10.3390/en18205389openalex-snapshot
Graph-Enhanced Prompt Tuning for Evidence-Grounded HFACS Classification in Power-System Safety
inferred← citeshttps://doi.org/10.4018/ijoci.2017010102openalex-snapshot
Classifying Web Pages by Aimed Nation Using Machine Learning
inferred← citeshttps://doi.org/10.48550/arxiv.1706.06802openalex-snapshot
JaTeCS an open-source JAva TExt Categorization System
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