 Yamanishi, Kenji 

 Yamanishi, Kenji (Hiroshi Mamitsuka and Kenji Yamanishi)  Protein secondary structure prediction based on stochasticrule learning  1993 
 Yamanishi, Kenji (Kenji Yamanishi)  Minimax relative loss analysis for sequential prediction algorithms using parametric hypotheses  1998 
 Yamanishi, Kenji (Kenji Yamanishi)  OnLine Maximum Likelihood Prediction with Respect to General Loss Functions  1997 
 Yamanishi, Kenji (Kenji Yamanishi)  A Loss Bound Model for Online Stochastic Prediction Algorithms  1995 
 Yamanishi, Kenji (Kenji Yamanishi)  Probably Almost Discriminative Learning  1995 
 Yamanishi, Kenji (Kenji Yamanishi)  A DecisionTheoretic Extension of Stochcastic Complexity and Its Applications to Learning  1998 
 Yamanishi, Kenji (Kenji Yamanishi)  Generalized stochastic complexity and its applications to learning  1994 
 Yamanishi, Kenji (Kenji Yamanishi)  Extended Stochastic Complexity and Minimax Relative Loss Analysis  1999 
 Yamanishi, Kenji (Kenji Yamanishi)  A randomized approximation of the MDL for stochastic models with hidden variables  1996 
 Yamanishi, Kenji (Kenji Yamanishi)  Randomized approximate aggregating strategies and their applications to prediction and discrimination  1995 
 Yamanishi, Kenji (Kenji Yamanishi)  A Learning Criterion for Stochastic Rules  1992 
