Parallelization of the nearest-neighbour search and the cross-validation error evaluation for the kernel weighted k-nn algorithm applied to large data dets in matlab
Conference Proceeding
Rubio, G., Guillen, A., Pomares, H., Rojas, I., Paechter, B., Glosekotter, P., & Torres-Ceballos, C. I. (2009)
Parallelization of the nearest-neighbour search and the cross-validation error evaluation for the kernel weighted k-nn algorithm applied to large data dets in matlab. In HPCS '09. International Conference on High Performance Computing & Simulation, 2009https://doi.org/10.1109/hpcsim.2009.5192804
The kernel weighted k-nearest neighbours (KWKNN) algorithm is an efficient kernel regression method that achieves competitive results with lower computational complexity than ...
An Empirical Analysis of the Grouping Genetic Algorithm: The Timetabling Case.
Conference Proceeding
Lewis, R., & Paechter, B. (2005)
An Empirical Analysis of the Grouping Genetic Algorithm: The Timetabling Case. In 2005 IEEE Congress on Evolutionary Computation, 2856-2863. https://doi.org/10.1109/cec.2005.1555053
A grouping genetic algorithm (GGA) for the university course timetabling problem is outlined. We propose six different fitness functions, all sharing the same common goal, and...