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pro vyhledávání: '"Sloss, Andrew"'
Autor:
Sloss, Andrew N.
Algorithms are becoming more capable, and with that comes hic sunt dracones (here be dragons). The term symbolizes areas beyond our known maps. We use this term since we are stepping into an exciting, potentially dangerous, and unknown area with algo
Externí odkaz:
http://arxiv.org/abs/2301.10333
Genetic improvement is a search technique that aims to improve a given acceptable solution to a problem. In this paper, we present the novel use of genetic improvement to find problem-specific optimized LLVM pass sequences. We develop a pass-level pa
Externí odkaz:
http://arxiv.org/abs/2204.13261
Autor:
Peeler, Hannah, Li, Shuyue Stella, Sloss, Andrew N., Reid, Kenneth N., Yuan, Yuan, Banzhaf, Wolfgang
In this paper we introduce Shackleton as a generalized framework enabling the application of linear genetic programming -- a technique under the umbrella of evolutionary algorithms -- to a variety of use cases. We also explore here a novel applicatio
Externí odkaz:
http://arxiv.org/abs/2201.13305
Autor:
Fezer, Karl, Sloss, Andrew
Intelligence is a fundamental part of all living things, as well as the foundation for Artificial Intelligence. In this primer we explore the ideas associated with intelligence and, by doing so, understand the implications and constraints and potenti
Externí odkaz:
http://arxiv.org/abs/2008.07324
Autor:
Sloss, Andrew N., Gustafson, Steven
Evolutionary algorithm research and applications began over 50 years ago. Like other artificial intelligence techniques, evolutionary algorithms will likely see increased use and development due to the increased availability of computation, more robu
Externí odkaz:
http://arxiv.org/abs/1906.08870
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