2 papers
stat.ML2018
Structure Learning of Markov Random Fields through Grow-Shrink Maximum Pseudolikelihood Estimation
Yuya Takashina, Shuyo Nakatani, Masato Inoue
Learning the structure of Markov random fields (MRFs) plays an important role in multivariate analysis. The importance has been increasing with the recent rise of statistical relat…
cond-mat.dis-nn2002
On-Line Learning Theory of Soft Committee Machines with Correlated Hidden Units - Steepest Gradient Descent and Natural Gradient Descent -
Masato Inoue, Hyeyoung Park, Masato Okada
The permutation symmetry of the hidden units in multilayer perceptrons causes the saddle structure and plateaus of the learning dynamics in gradient learning methods. The correlati…