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Sen, P. et al. Collective classification in network data.
Collective classification (CC) is a task to jointly classifying related instances of network data.
By enforcing the constraints also on the test set, this paper presents a natural extension of the framework to perform collective classification.
They are implemented for two different graph problems: calculation of single source shortest paths (SSSP) and collective classification of graph nodes by means of relational influence propagation (RIP).
This naturally motivates semi-supervised collective classification (SSCC) approaches for leveraging the unlabeled data to improve CC from a sparsely-labeled network.
The kLog framework can be applied to tackle the same range of tasks that has made statistical relational learning so popular, including classification, regression, multitask learning, and collective classification.
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They tried to connect fandom to abstractions about identity formation, self-esteem affiliation and collective classifications.
Jensen, D., Neville, J. & Gallagher, B. Why collective inference improves relational classification.
We previously used this data to propose a generalization scheme to quantify in vitro collective migration assays using classification for phenotypic discrimination between these different experimental conditions [ 2].
Similar to the classification in psychology, collective knowledge is also classified into common sense, experiential knowledge and implicit knowledge by micROS.
Food delivery startup Deliveroo, for example, has so far prevailed in UK courts against union-backed attempts to gain collective bargaining rights by challenging its classification of couriers as independent contractors.
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