Neurolinguistics

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  • Computational neurolinguistics (CN) is an approach to computational l i n g u i s t i c s which includes neurally-motivated constraints in the design of models of natural language processing. Furthermore, the knowledge representations included in such models must be supported with documented behaviorial e v ~ c e , normal and pathological. This paper w i l l discuss the contribution of CN models to ~the understanding of l i n g u i s t i c "competence" within recent research efforts to adapt HOPE (Gigley 1981; 1982a; 1982b; 1982c; 1983a), an implemented CN...

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  • This volume descibes, in up-to-date terminology and authoritative interpretation, the field of neurolinguistics, the science concerned with the neural mechanisms underlying the comprehension, production and abstract knowledge of spoken, signed or written language.

    pdf633p chieu_mua 22-08-2012 83 32   Download

  • lasso estimates can be obtained at the same computational cost as that of an ordinary least squares estimation Hastie et al. (òýýÀ). Further, the lasso estimator remains numerically feasible for dimensions m that are much higher than the sample size n. Zou and Hastie (òýý ) introduced a hybrid PLS regression with the so called elastic net penalty dened as "Ppj =Ô(ò ( j + Ô −)SjS). Here the penalty function is a linear combination of the ridge regression penalty function and lasso penalty function. A dišerent type of PLS, called garotte is due to Breiman (ÔÀÀç).

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