Everything about Collective classification
In network theory, collective classification is the simultaneous prediction of the labels for multiple objects, where each label is predicted using information about the object's observed features, the observed features and labels of its neighbors, and the unobserved labels of its neighbors. Collective classification problems are defined in terms of networks of random variables, where the network structure determines the relationship between the random variables. Inference is performed on multiple random variables simultaneously, typically by propagating information between nodes in the network to perform approximate inference. Approaches that use collective classification can make use of relational information when performing inference. Examples of collective classification include predicting attributes of individuals in a social network, classifying webpages in the World Wide Web, and inferring the research area of a paper in a scientific publication dataset. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Collective classificationA 5-minute orientation
- Skim a recent paper: Generating collective counterfactual explanations in score-based classification via mathematical optimizationInfluential work since 2022
- Pick up a classic book: Key to North American birdsThe most-reprinted book on the subject
- Read the landmark paper: Collective Classification in Network DataCited 2,120 times
- Go sideways: Link predictionA closely related topic
- Go sideways: Probabilistic soft logicA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Collective Classification in Network Data
Time-Series Classification with COTE: The Collective of Transformation-Based Ensembles
Skin Lesion Classification Using Collective Intelligence of Multiple Neural Networks
Metaphors of Protest: A Classification of Motivations for Collective Action
Column Networks for Collective Classification
Collective action and provider classification in the sharing economy
Collective Personalized Change Classification With Multiobjective Search
Collective Intelligence Systems: Classification and Modeling
🆕 Influential since 2022
Generating collective counterfactual explanations in score-based classification via mathematical optimization
Classification-based forest management program and farmers' income: evidence from collective forest area in southern China
Binary image classification using collective optical modes of an array of nanolasers
Classification of endogenous and exogenous bursts in collective emotions based on Weibo comments during COVID-19
Collusive spam detection from Chinese community question answering sites: A collective classification framework
📚 Books worth reading
Key to North American birdsElliott Coues · 1872
The miscellaneous botanical works of Robert BrownRobert Brown, John Joseph Bennett · 1866
Connaissances nécessaires à un bibliophileRouveyre, Édouard · 1877
The fairy caravanBeatrix Potter · 1929
Taxonomic literatureFrans Antonie Stafleu · 1967
Handbook for shell collectorsWalter Freeman Webb · 1936
Hortus CliffortianusCarl Linnaeus · 1737
Lunacy and the arrangement of booksTerry Belanger · 1982
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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