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pro vyhledávání: '"Bogusaw Cyganek"'
Publikováno v:
ICCS
This paper addresses a data mining task of classifying data stream with concept drift. The proposed algorithm, named Concept-adapting Evolutionary Algorithm For Decision Tree does not require any knowledge of the environment such as numbers and rates
Autor:
Michal Wozniak, Bogusaw Cyganek
Publikováno v:
ICCS
In this paper new methods for fast computation of the chordal kernels are proposed. Two versions of the chordal kernels for tensor data are discussed. These are based on different projectors of the flattened matrices obtained from the input tensors.