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https://en.wikipedia.org/wiki/Support-vector_machine
Transductive support-vector machines. Transductive support-vector machines extend SVMs in that they could also treat partially labeled data in semi-supervised learning by following the principles of transduction. Here, in addition to the training set , the learner is also given a set
http://users.stat.umn.edu/~xshen/paper/tsvm.pdf
On Transductive Support Vector Machines ... Minneapolis, MN 55455 Abstract Transductive support vector machines (TSVM) has been widely used as a means of treating partially labeled data in semi-supervised learning. Around it, there has been mystery because of lack of understand-ing its foundation in generalization. This
http://www.cs.cmu.edu/~guestrin/Class/10701-S06/Slides/tsvms-pca.pdf
Transductive support vector machines (TSVMs) w. x ... transductive SVMs What is transductive v. semi-supervised learning Formulation for transductive SVM can also be used for semi-supervised learning Optimization is hard! Integer program There are simple heuristic solution methods that
https://www.quora.com/What-are-the-Transductive-Support-Vector-Machines-TSVMs
The objective function for regular SVM maximizes the margin, alongwith the constraints that positive datapoints and negative datapoints are on opposite sides of the separating hyperplane. The regular SVM formulation can use only labeled datapoints...
https://www.researchgate.net/publication/250884384_On_Transductive_Support_Vector_Machines
Transductive support vector machines (TSVM) has been widely used as a means of treating partially labeled data in semi- supervised learning. Around it, there has been mystery because of lack of ...
https://www.sciencedirect.com/science/article/pii/S0925231217300292
In this paper, we propose a robust and fast transductive support vector machine (RTSVM) classifier that can be applied to large-scale data. To this end, we use the robust Ramp loss instead of Hinge loss for labeled data samples.Cited by: 6
https://www.sciencedirect.com/science/article/pii/S1077314217301364
We propose a new method for large-scale image retrieval by using binary hierarchical trees and transductive support vector machines (TSVMs). • We developed a new multi-label image retrieval data set using a subset of ImageCLEF 2013 dataset.Cited by: 3
https://en.wikipedia.org/wiki/Transduction_(machine_learning)
An example of an algorithm in this category is the Transductive Support Vector Machine (TSVM). A third possible motivation which leads to transduction arises through the need to approximate. If exact inference is computationally prohibitive, one may at least try to make sure that …
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