In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
—Consider the problem of a robot (learning mechanism or algorithm) attempting to locate a point on a line. The mechanism interacts with a random environment which essentially inf...
This paper presents a prototype of a low-cost Mixed Reality Interactive Table (MRIT) which is equipped with a Web camera, a projector, animal-appearance robots, gloves with acceler...
Mu-Chun Su, Gwo-Dong Chen, Yi-Shan Tsai, Ren-Hao Y...
— Reactive systems are those that maintain an ongoing interaction with their environment at a speed dictated by the latter. Examples of such systems include web servers, network ...
In this work we propose an approach of incorporating learned mutation strategies (LMS) in genetic programming (GP) employed for evolution and adaptation of locomotion gaits of sim...