0382475 - ÚI 2016 RIV US eng J - Journal Article
Frolov, A. - Húsek, Dušan - Polyakov, P.Y.Comparison of Seven Methods for Boolean Factor Analysis and Their Evaluation by Information Gain.
IEEE Transactions on Neural Networks and Learning Systems. Roč. 27, č. 3 (2016), s. 538-550. ISSN 2162-237X. E-ISSN 2162-2388
R&D Projects: GA MŠMT ED1.1.00/02.0070
Institutional support: RVO:67985807
Keywords : associative memory * bars problem (BP) * Boolean factor analysis (BFA) * data mining * dimension reduction * Hebbian learning rule * information gain * likelihood maximization (LM) * neural network application * recurrent neural network * statistics
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 6.108, year: 2016
Permanent Link: http://hdl.handle.net/11104/0212684
