Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Abstract. Large information spaces and complex functionality of contemporary systems together with the advent of the Semantic Web are big challenges for the design of simple yet po...
Abstract— The capability to assemble structures is fundamental to the use of robotics in precursor missions in orbit and on planetary surfaces. We have performed autonomous assem...
Brennan Sellner, Frederik W. Heger, Laura M. Hiatt...
In desktop grids the use of off-the-shelf shared components makes the use of dedicated resources economically nonviable and increases the complexity of design of efficient storag...
Chreston Miller, Patrick Butler, Ankur Shah, Ali R...