An Overview on Semi-Supervised Learning Methods. Matthias Seeger MPI for Biological Cybernetics Tuebingen, Germany. Overview. The SSL Problem Paradigms for SSL. Examples The Importance of Input-dependent Regularization Note : Citations omitted here (given in my literature review). m. y.
Matthias SeegerMPI for Biological Cybernetics
Note: Citations omitted here (given inmy literature review)
The Goal of SSL is To Do Better
Not: Uniformly and always(No Free Lunch; and yes (of course): Unlabeled data can hurt)
But (as always): If our modelling and algorithmic efforts reflecttrue problem characteristics
Natural Criterion in this context:
No Matter Why:
Many SSL Methods implement theCA and work fine in practice
Some methods do IDR, but implement the CA only in special cases:
Wait: We have to model P(x) somehow.Is this not always generative then? ... No!