'Labeled node' diaporamas de présentation

Semi-Supervised Learning

Semi-Supervised Learning. D. Zhou, O Bousquet, T. Navin Lan, J. Weston, B. Schokopf Presents: Tal Babaioff. Semi Supervised Learning. Use small number of labeled data to label large amount of cheap unlabeled data. Basic idea: similar examples should be given the same classification.

777 views • 37 slides

Query Rules Study on Active Semi-Supervised Learning using Particle Competition and Cooperation

403 views • 25 slides

Semi-Supervised Learning from Imperfect Data through Particle Cooperation and Competition

327 views • 21 slides

Particle Competition and Cooperation in Networks for Semi-Supervised Learning with Concept Drift

2012 IEEE World Congress on Computational Intelligence. Particle Competition and Cooperation in Networks for Semi-Supervised Learning with Concept Drift. Fabricio Breve 1,2 fabricio@icmc.usp.br Liang Zhao 2 zhao@icmc.usp.br.

357 views • 20 slides