Buscar
Mostrando ítems 11-20 de 4399
The potential for machine learning algorithms to improve and reduce the cost of 3-dimensional printing for surgical planning
(Taylor and Francis Ltd, 2018)
Lazy multi-label learning algorithms based on mutuality strategies
(SpringerDordrecht, 2015-12)
Lazy multi-label learning algorithms have become an important research topic within the multi-label community. These algorithms usually consider the set of standard k-Nearest Neighbors of a new instance to predict its ...
Meta-heuristic multi- and many-objective optimization techniques for solution of machine learning problems
(Wiley-Blackwell, 2017-12-01)
Recently, multi- and many-objective meta-heuristic algorithms have received considerable attention due to their capability to solve optimization problems that require more than one fitness function. This paper presents a ...
Assessing irace for automated machine and deep learning in computer vision
(Universidade Federal do Rio Grande do NorteBrasilUFRNPROGRAMA DE PÓS-GRADUAÇÃO EM TECNOLOGIA DA INFORMAÇÃO, 2021-06-29)
Machine Learning As an Advanced Algorithm To Solve Optimization Problems in Physics
(Institute of Electrical and Electronics EngineersPE, 2021-08-19)
It is argued that the standard procedures to solve problems in physics particularly in the field of electrodynamics have in a tacit manner the actions of Machine Learning, such as the criteria of Tom Mitchell, (i) task, ...