An Extensive Empirical Study on Semi-supervised Learning

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On causal and anticausal learning (2012, background): “Moreover, (2) we included only the inductive methods considered by Guo et al. (2010), and not the transductive ones (cf. our discussion above).”
Semi-supervised Learning in Causal and Anticausal Settings (2013, background): “The original results are from Tables III and IV in [5], and are presently re-analyzed in terms of the above dataset categories.”
Semi-supervised interpolation in an anticausal learning scenario (2015, background): “Semi-supervised learning (SSL) has received increasing attention during the past decade (Darnstädt et al., 2013; Ben-David et al., 2008; Yuanyuan et al., 2010; Chapelle et al., 2006).”