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pro vyhledávání: '"Mandlik, Simon"'
Detection of malicious behavior in a large network is a challenging problem for machine learning in computer security, since it requires a model with high expressive power and scalable inference. Existing solutions struggle to achieve this feat -- cu
Externí odkaz:
http://arxiv.org/abs/2408.03287
Learning from raw data input, thus limiting the need for manual feature engineering, is one of the key components of many successful applications of machine learning methods. While machine learning problems are often formulated on data that naturally
Externí odkaz:
http://arxiv.org/abs/2105.09107
Autor:
Mandlik, Simon, Pevny, Tomas
Even though machine learning algorithms already play a significant role in data science, many current methods pose unrealistic assumptions on input data. The application of such methods is difficult due to incompatible data formats, or heterogeneous,
Externí odkaz:
http://arxiv.org/abs/2104.09650
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