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Page 1
Foundations of support constraint machines.
Gnecco G, Gori M, Melacci S, Sanguineti M. Gnecco G, et al. Neural Comput. 2015 Feb;27(2):388-480. doi: 10.1162/NECO_a_00686. Epub 2014 Nov 7. Neural Comput. 2015. PMID: 25380338
LQG Online Learning.
Gnecco G, Bemporad A, Gori M, Sanguineti M. Gnecco G, et al. Neural Comput. 2017 Aug;29(8):2203-2291. doi: 10.1162/NECO_a_00976. Epub 2017 May 31. Neural Comput. 2017. PMID: 28562221
Multi-class parkinsonian disorders classification with quantitative MR markers and graph-based features using support vector machines.
Morisi R, Manners DN, Gnecco G, Lanconelli N, Testa C, Evangelisti S, Talozzi L, Gramegna LL, Bianchini C, Calandra-Buonaura G, Sambati L, Giannini G, Cortelli P, Tonon C, Lodi R. Morisi R, et al. Among authors: gnecco g. Parkinsonism Relat Disord. 2018 Feb;47:64-70. doi: 10.1016/j.parkreldis.2017.11.343. Epub 2017 Nov 28. Parkinsonism Relat Disord. 2018. PMID: 29208345
Learning with boundary conditions.
Gnecco G, Gori M, Sanguineti M. Gnecco G, et al. Neural Comput. 2013 Apr;25(4):1029-106. doi: 10.1162/NECO_a_00417. Epub 2013 Jan 22. Neural Comput. 2013. PMID: 23339616
Learning With Mixed Hard/Soft Pointwise Constraints.
Gnecco G, Gori M, Melacci S, Sanguineti M. Gnecco G, et al. IEEE Trans Neural Netw Learn Syst. 2015 Sep;26(9):2019-32. doi: 10.1109/TNNLS.2014.2361866. Epub 2014 Nov 7. IEEE Trans Neural Netw Learn Syst. 2015. PMID: 25389245
28 results