Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Cleghorn, Christopher W"'
This study investigates the use of local optima network (LON) analysis, a derivative of the fitness landscape of candidate solutions, to characterise and visualise the neural architecture space. The search space of feedforward neural network architec
Externí odkaz:
http://arxiv.org/abs/2206.06903
Procedurally generated video game content has the potential to drastically reduce the content creation budget of game developers and large studios. However, adoption is hindered by limitations such as slow generation, as well as low quality and diver
Externí odkaz:
http://arxiv.org/abs/2204.06934
Publikováno v:
In: Parallel Problem Solving from Nature - PPSN XVII. PPSN 2022. Lecture Notes in Computer Science, vol 13398. Springer, Cham (2022)
Designing optimisation algorithms that perform well in general requires experimentation on a range of diverse problems. Training neural networks is an optimisation task that has gained prominence with the recent successes of deep learning. Although e
Externí odkaz:
http://arxiv.org/abs/2109.05606
Publikováno v:
2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021, pp. 1-8
Point source detection techniques are used to identify and localise point sources in radio astronomical surveys. With the development of the Square Kilometre Array (SKA) telescope, survey images will see a massive increase in size from Gigapixels to
Externí odkaz:
http://arxiv.org/abs/2008.02093
This paper derives, under minimal modelling assumptions, a simple to use theorem for obtaining both order-$1$ and order-$2$ stability criteria for a common class of particle swarm optimization (PSO) variants. Specifically, PSO variants that can be re
Externí odkaz:
http://arxiv.org/abs/2004.00476
Publikováno v:
In Spatial Statistics June 2023 55
Publikováno v:
In Swarm and Evolutionary Computation June 2022 71
Autor:
van der Stockt, Stéfan A.G., Pamparà, Gary, Engelbrecht, Andries P., Cleghorn, Christopher W.
Publikováno v:
In Swarm and Evolutionary Computation October 2021 66
Publikováno v:
In Information Sciences February 2020 512:1043-1062
Publikováno v:
In Science Talks March 2024 9