The following publications are possibly variants of this publication:
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- Beta Hebbian Learning as a New Method for Exploratory Projection PursuitHéctor Quintián, Emilio Corchado. IJNS, 27(6):1-16, 2017. [doi]
- Kernel Maximum Likelihood Hebbian LearningJos Koetsier, Emilio Corchado, Donald MacDonald, Juan M. Corchado, Colin Fyfe. iccS 2004: 650-653 [doi]
- Neural PCA and Maximum Likelihood Hebbian Learning on the GPUPavel Krömer, Emilio Corchado, Václav Snásel, Jan Platos, Laura García-Hernandez. icann 2012: 132-139 [doi]
- Classification and ICA using maximum likelihood Hebbian learningEmilio Corchado, Jos Koetsier, Donald MacDonald, Colin Fyfe. nnsp 2002: 327-336 [doi]
- Maximum likelihood Hebbian rulesColin Fyfe, Emilio Corchado. esann 2002: 143-148
- An extended exploratory projection pursuit network with linear and nonlinear anti-hebbian lateral connections applied to the cocktail party problemMark Girolami, Colin Fyfe. NN, 10(9):1607-1618, 1997. [doi]
- A maximum likelihood Hebbian learning-based method to an agent-based architectureEmilio Corchado, María Assumpció Pellicer, María Lourdes Borrajo Diz. ijcm, 86(10&11):1760-1768, 2009. [doi]
- Extraction of Visual Information Using Maximum Likelihood Hebbian LearningEmilio Corchado, Colin Fyfe. sbrn 2002: 227-233 [doi]
- Analysing Spectroscopic Data Using Hierarchical Cooperative Maximum Likelihood Hebbian LearningDonald MacDonald, Emilio Corchado, Colin Fyfe. micai 2004: 282-291 [doi]
- Maximum Likelihood Hebbian Learning Based Retrieval Method for CBR SystemsJuan M. Corchado, Emilio Corchado, Jim Aiken, Colin Fyfe, Florentino Fernández Riverola, Manuel Gonzalez. iccbr 2003: 107-121 [doi]