Abstract Models are among the most essential tools in robotics, such as kinematics and
dynamics models of the robot's own body and controllable external objects. It is widely …

This paper surveys locally weighted learning, a form of lazy learning and memory-based
learning, and focuses on locally weighted linear regression. The survey discusses distance …

Most evolutionary optimization algorithms assume that the evaluation of the objective and
constraint functions is straightforward. In solving many real-world optimization problems …

Electrified vehicles users may expect their vehicle to have a steady autonomy range and
available power throughout the lifetime of their cars. The health assessment of Lithium-ion …

Background Information about the distribution of causes of and time trends for child mortality
should be periodically updated. We report the latest estimates of causes of child mortality in …

The rapid growth in demand for computational power driven by modern service applications
combined with the shift to the Cloud computing model have led to the establishment of large …

The versatile capabilities and large set of add-on packages make R an excellent alternative
to many existing and often expensive data mining tools. Exploring this area from the …

We present a comprehensive survey of robot Learning from Demonstration (LfD), a
technique that develops policies from example state to action mappings. We introduce the …

The book describes the use of smoothing techniques in statistics, including both density
estimation and nonparametric regression. Considerable advances in research in this area …

Meshfree approximation methods are a relatively new area of research, and there are only a
few books covering it at present. Whereas other works focus almost entirely on theoretical …