Results 241 to 250 of about 6,919 (266)
Some of the next articles are maybe not open access.
2014
Outlier detection in mixed-type data, which contain both discrete and continuous features, is still a challenging problem. Here we newly introduce concept-based outlierness, which is defined on a hierarchy of clusters of data points and features, called the concept lattice, obtained by formal concept analysis (FCA). Intuitively, this outlierness is the
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Outlier detection in mixed-type data, which contain both discrete and continuous features, is still a challenging problem. Here we newly introduce concept-based outlierness, which is defined on a hierarchy of clusters of data points and features, called the concept lattice, obtained by formal concept analysis (FCA). Intuitively, this outlierness is the
openaire +1 more source
Critical care management of chimeric antigen receptor T‐cell therapy recipients
Ca-A Cancer Journal for Clinicians, 2022Alexander Shimabukuro-Vornhagen +2 more
exaly
Lattice Theory: First Concepts and Distributive Lattices.
The American Mathematical Monthly, 1973Daniel T. Finkbeiner, George Gratzer
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Frailty and cancer: Implications for oncology surgery, medical oncology, and radiation oncology
Ca-A Cancer Journal for Clinicians, 2017Cecilia G Ethun +2 more
exaly
The 'atypicality' of antipsychotics: a concept re-examined and re-defined
Nature Reviews Drug Discovery, 2009Gerhard Gründer
exaly
A survey on concept drift adaptation
ACM Computing Surveys, 2014Joao Gama, Indre Zliobaite, Albert Bifet
exaly