A cross-situational algorithm for learning a lexicon using neural modeling fields (2009)
Source: IEEE International Joint Conference on Neural Networks. Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidade: IFSC
Subjects: REDES NEURAIS, COGNIÇÃO, LINGUAGEM (AQUISIÇÃO), NEUROCIÊNCIAS (MODELOS), ALGORITMOS, LINGUÍSTICA COMPUTACIONAL, LÉXICO
ABNT
FONTANARI, José Fernando et al. A cross-situational algorithm for learning a lexicon using neural modeling fields. IEEE International Joint Conference on Neural Networks. Proceedings. New York: Institute of Electrical and Electronics Engineers - IEEE. Disponível em: https://doi.org/10.1109/IJCNN.2009.5178788. Acesso em: 25 set. 2024. , 2009APA
Fontanari, J. F., Tikhanoff, V., Cangelosi, A., & Perlovsky, L. I. (2009). A cross-situational algorithm for learning a lexicon using neural modeling fields. IEEE International Joint Conference on Neural Networks. Proceedings. New York: Institute of Electrical and Electronics Engineers - IEEE. doi:10.1109/IJCNN.2009.5178788NLM
Fontanari JF, Tikhanoff V, Cangelosi A, Perlovsky LI. A cross-situational algorithm for learning a lexicon using neural modeling fields [Internet]. IEEE International Joint Conference on Neural Networks. Proceedings. 2009 ; 869-876.[citado 2024 set. 25 ] Available from: https://doi.org/10.1109/IJCNN.2009.5178788Vancouver
Fontanari JF, Tikhanoff V, Cangelosi A, Perlovsky LI. A cross-situational algorithm for learning a lexicon using neural modeling fields [Internet]. IEEE International Joint Conference on Neural Networks. Proceedings. 2009 ; 869-876.[citado 2024 set. 25 ] Available from: https://doi.org/10.1109/IJCNN.2009.5178788