The main aim of this article is to give an assessment of prediction error minimization (PEM) as a unifying theoretical framework for the study of social cognition. We show how this framework can be used to synthesize and systematically relate existing data from social cognition research, and ...
This approach guarantees the identification of stable predictors based on the prediction error minimization. Unluckily, the stability of the predictors does not guarantee the stability of the impulse response of the system. In this paper we propose and compare various techniques to address this issue....
Detailed sensory expectations are key to this process of prediction error minimization, and hence to learning, because they allow abstract predictions to be “grounded” in a format suitable for comparison with sensory input. But whereas there is good evidence that detailed predictions are part of ...
Classical prediction error minimization (PEM) methods are widely used for model identification, but they are also known to provide satisfactory results only in specific identification conditions, e.g. disturbance model matching. If these conditions are not met, the obtained model may have quite differ...
error estimation (PE) metho d [7]. Minimization of (7) can b e ac hiev ed itera- tiv ely according to W (k ) = W (k �1) +��(W (k �1) ) (8) where k denotes the iteration step, �(W (k �1) ) is a searc h direction and � is a p ositiv e cons...
However, the number of confirmed cases is often subject to additional measurement error due to the number of people tested and the testing procedure. For example, some datasets7 only present confirmed cases as the number of people having positive results for a completed polymerase chain reaction ...
Abstract Introduction Imbalanced regression Relevance functions in imbalanced regression Evaluation metrics Experimental study Discussion Conclusions Notes References Acknowledgements Author information Additional information Appendix: Minimization of SERA Rights and permissions About this article AdvertisementDiscover...
The present invention relates to a signal processing device which learns operations made by a user without the user knowing, and which can perform processing optimal to the user based on the learning results. At a learning unit , operating signals supplied according to user operations are ...
Revisiting brittle fracture as an energy minimization problem. J. Mech. Phys. Solids 46, 1319–1342 (1998). Article ADS MathSciNet MATH Google Scholar Palaniswamy, K. & Knauss, W. Propagation of a crack under general, in-plane tension. Int. J. Fract. Mech. 8, 114–117 (1972). ...
Animals make decisions under the principle of reward value maximization and surprise minimization. It is still unclear how these principles are represented in the brain and are reflected in behavior. We addressed this question using a closed-loop virtual reality system to train adult zebrafish for ac...