We study maximum a posteriori probability model order selection for linear regression models, assuming Gaussian distributed noise and coefficient vectors. For the same data model,...
Given a set of observed economic choices, can one infer preferences and/or utility functions for the players that are consistent with the data? Questions of this type are called r...
This report presents the development of tactile sensing-based control architecture in a multi-fingered humanoid robot arm for object manipulation tasks. With the aim to enhance the...
Hanafiah B. Yussof, Masahiro Ohka, Hirofumi Suzuki...
For some time, learning Bayesian networks has been both feasible and useful in many problems domains. Recently research has been done on learning equivalence classes of Bayesian n...
User interface (UI) prototyping and scenario engineering have become popular techniques. Yet, the transition from scenario to formal specifications and the generation of UI code is...