Semi-supervised learning by search of optimal target vector

Authors:
Leonardo Angelini;Daniele Marinazzo;Mario Pellicoro;Sebastiano Stramaglia
Affiliations:
TIRES-Center of Innovative Technologies for Signal Detection and Processing, University of Bari, Italy and Dipartimento Interateneo di Fisica, Bari, Italy and Istituto Nazionale di Fisica Nucleare ...;TIRES-Center of Innovative Technologies for Signal Detection and Processing, University of Bari, Italy and Dipartimento Interateneo di Fisica, Bari, Italy and Istituto Nazionale di Fisica Nucleare ...;TIRES-Center of Innovative Technologies for Signal Detection and Processing, University of Bari, Italy and Dipartimento Interateneo di Fisica, Bari, Italy and Istituto Nazionale di Fisica Nucleare ...;TIRES-Center of Innovative Technologies for Signal Detection and Processing, University of Bari, Italy and Dipartimento Interateneo di Fisica, Bari, Italy and Istituto Nazionale di Fisica Nucleare ...
Venue:
Pattern Recognition Letters
Year:
2008

Citing 4
Cited 0

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Semi-supervised regression with co-training

IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence

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Abstract

We introduce a semi-supervised learning estimator which tends to the first kernel principal component as the number of labeled points vanishes. We show application of the proposed method for dimensionality reduction and develop a semi-supervised regression and classification algorithm for transductive inference.