Lange T, Roth V, Braun ML, Buhmann JM. (2004). Stability-based validation of clustering solutions. Neural computation. 16 [PubMed]
Micchelli CA, Pontil M. (2005). On learning vector-valued functions. Neural computation. 17 [PubMed]
Mollah MNH, Minami M, Eguchi S. (2005). Exploring Latent Structure of Mixture ICA Models by the Minimum ß-Divergence Method Neural Comput. 18
Murata N, Takenouchi T, Kanamori T, Eguchi S. (2004). Information geometry of U-Boost and Bregman divergence. Neural computation. 16 [PubMed]
Rosasco L, De Vito E, Caponnetto A, Piana M, Verri A. (2004). Are loss functions all the same? Neural computation. 16 [PubMed]
Takenouchi T, Eguchi S. (2004). Robustifying AdaBoost by adding the naive error rate. Neural computation. 16 [PubMed]
Truccolo W, Donoghue JP. (2007). Nonparametric modeling of neural point processes via stochastic gradient boosting regression. Neural computation. 19 [PubMed]
Zhao Q, Miller DJ. (2005). Mixture modeling with pairwise, instance-level class constraints. Neural computation. 17 [PubMed]