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pro vyhledávání: '"Hille, Tobias"'
Autor:
Hanika, Tom, Hille, Tobias
Dimensionality is an important aspect for analyzing and understanding (high-dimensional) data. In their 2006 ICDM paper Tatti et al. answered the question for a (interpretable) dimension of binary data tables by introducing a normalized correlation d
Externí odkaz:
http://arxiv.org/abs/2404.06326
Difficulties in replication and reproducibility of empirical evidences in machine learning research have become a prominent topic in recent years. Ensuring that machine learning research results are sound and reliable requires reproducibility, which
Externí odkaz:
http://arxiv.org/abs/2403.08438
Real-world datasets are often of high dimension and effected by the curse of dimensionality. This hinders their comprehensibility and interpretability. To reduce the complexity feature selection aims to identify features that are crucial to learn fro
Externí odkaz:
http://arxiv.org/abs/2304.02455