Lecture

Semi-supervised Clustering: Transductive SVM

In course

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Description

This lecture covers the concept of Transductive Support Vector Machine, which learns from partially labeled datapoints, aiming for zero error on labeled points and well-separated unlabeled points. It explores the mix between a classification and clustering problem, using labels to guide the separation. The lecture also delves into the constraints and optimization problems involved in Transductive SVM.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_yq28lguf

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Ontological neighbourhood

Information engineering

Machine learning: Unsupervised learning

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