SemiSup ervised Classication Lo Densit Separation Olivier Chap elle Alexander Zien Max Planc Institute for Biological Cyb ernetics ubingen German Abstract eliev that the cluster assumption is ey to
Based on this prop ose three semisup ervised al gorithms 1 deriving graphbased distances that emphazise lo densit regions et een clusters follo ed training standard SVM 2 optimizing the ransductiv SVM ob jectiv function whic places the decision ound
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