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of 366
pro vyhledávání: '"Rothlauf, Franz"'
Autor:
Röchner, Philipp, Marques, Henrique O., Campello, Ricardo J. G. B., Zimek, Arthur, Rothlauf, Franz
Outlier detection algorithms typically assign an outlier score to each observation in a dataset, indicating the degree to which an observation is an outlier. However, these scores are often not comparable across algorithms and can be difficult for hu
Externí odkaz:
http://arxiv.org/abs/2408.15874
In recent years, several new lexicase-based selection variants have emerged due to the success of standard lexicase selection in various application domains. For symbolic regression problems, variants that use an epsilon-threshold or batches of train
Externí odkaz:
http://arxiv.org/abs/2407.21632
Large Language Models (LLM) are already widely used to generate content for a variety of online platforms. As we are not able to safely distinguish LLM-generated content from human-produced content, LLM-generated content is used to train the next gen
Externí odkaz:
http://arxiv.org/abs/2311.16822
This paper examines how individuals perceive the credibility of content originating from human authors versus content generated by large language models, like the GPT language model family that powers ChatGPT, in different user interface versions. Su
Externí odkaz:
http://arxiv.org/abs/2309.02524
Epsilon-lexicase selection is a parent selection method in genetic programming that has been successfully applied to symbolic regression problems. Recently, the combination of random subsampling with lexicase selection significantly improved performa
Externí odkaz:
http://arxiv.org/abs/2302.04301
Genetic programming is an evolutionary approach known for its performance in program synthesis. However, it is not yet mature enough for a practical use in real-world software development, since usually many training cases are required to generate pr
Externí odkaz:
http://arxiv.org/abs/2301.08665
Autor:
Boldi, Ryan, Briesch, Martin, Sobania, Dominik, Lalejini, Alexander, Helmuth, Thomas, Rothlauf, Franz, Ofria, Charles, Spector, Lee
Genetic Programming (GP) often uses large training sets and requires all individuals to be evaluated on all training cases during selection. Random down-sampled lexicase selection evaluates individuals on only a random subset of the training cases al
Externí odkaz:
http://arxiv.org/abs/2301.01488
GitHub Copilot, an extension for the Visual Studio Code development environment powered by the large-scale language model Codex, makes automatic program synthesis available for software developers. This model has been extensively studied in the field
Externí odkaz:
http://arxiv.org/abs/2111.07875
Publikováno v:
In International Journal of Medical Informatics June 2024 186
