… On improving the extrapolation capability of task-parameterized movement models. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems. Tokyo, …
… If recurrent patterns emerge across tasks, then one can extrapolate them to new situations. If general patterns do not emerge, then one must measure construals in each specific context. …
… The supported effectiveness of TAM in this study implies future IS research to contextualize measurements within specific learning purposes in order to accurately evaluate learners' …
… the selfless support and encouragement from him, whom I always have much to learn from. … major benefits of such pictorial reduction can be extrapolated. One is that the static frames …
… - machine learning to adapt to new circumstances and to detect and extrapolate patterns. … discussing how learning may forge persistent changes in the brain to support durable memory. …
Contemporary musicians, music theorists, and music historians have become increasingly interested in exploring the inner workings of improvised music. These individuals include …
Artificial neural network (ANN) is an information processing system that imitates the structure and function of human brain neural networks, which is an abstract mathematical model for …
… In this paper we examine methods to extrapolate landscape values from … extrapolation can assist impact assessment for land use change but should be kept simple for decision support…