Learning efficient logic programs
Sign Up to like & getrecommendations! Published in 2018 at "Machine Learning"
DOI: 10.1007/s10994-018-5712-6
Abstract: When machine learning programs from data, we ideally want to learn efficient rather than inefficient programs. However, existing inductive logic programming (ILP) techniques cannot distinguish between the efficiencies of programs, such as permutation sort (n!)… read more here.
Keywords: machine learning; efficient logic; learning efficient; minimal cost ... See more keywords
Learning efficient navigation in vortical flow fields
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DOI: 10.1038/s41467-021-27015-y
Abstract: Efficient point-to-point navigation in the presence of a background flow field is important for robotic applications such as ocean surveying. In such applications, robots may only have knowledge of their immediate surroundings or be faced… read more here.
Keywords: navigation vortical; flow; flow fields; navigation ... See more keywords
Learning an Efficient Convolution Neural Network for Pansharpening
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DOI: 10.3390/a12010016
Abstract: Pansharpening is a domain-specific task of satellite imagery processing, which aims at fusing a multispectral image with a corresponding panchromatic one to enhance the spatial resolution of multispectral image. Most existing traditional methods fuse multispectral… read more here.
Keywords: efficient convolution; network; convolution neural; learning efficient ... See more keywords
Learning an Efficient Gait Cycle of a Biped Robot Based on Reinforcement Learning and Artificial Neural Networks
Sign Up to like & getrecommendations! Published in 2019 at "Applied Sciences"
DOI: 10.3390/app9030502
Abstract: Programming robots for performing different activities requires calculating sequences of values of their joints by taking into account many factors, such as stability and efficiency, at the same time. Particularly for walking, state of the… read more here.
Keywords: time; reinforcement learning; based reinforcement; learning efficient ... See more keywords