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Lista de candidatos sometidos a examen:
1) bayesian (*)
(*) Términos presentes en el nuestro glosario de lingüística

1) Candidate: bayesian


Is in goldstandard

1
paper CH_corpusRLAtxt161 - : To answer the above question, we performed a Bayesian model estimation and comparison with participants as random effects (Rosa, Bestmann, Harrison & Penny, 2010; Stephan, Penny, Daunizeau, Moran & Friston, 2009). Parameters of two linear models were estimated with the data of the 5 participants from which we obtained causal judgments. In model 1, we only included regressors representing the six conditions of interests (L-D, L-IC, L-INC, P-D, P-IC, and P-INC), response times, and head movements' parameters. Model 2 expanded the model 1 by including a regressor with the sign of causal judgments. With Bayesian analysis, we answered the following question: Which model has more probability of causing the hemodynamic response in our voxel of interest ? [32]Figure 5 shows the results. The model including the sign of causal judgments as a regressor did not perform better than our original model. Because the sign of causal judgments did not affect the neural response in our region of interest, we

Evaluando al candidato bayesian:


2) causal: 4 (*)
3) sign: 3

bayesian
Lengua: eng
Frec: 12
Docs: 8
Nombre propio: 1 / 12 = 8%
Coocurrencias con glosario: 1
Puntaje: 1.851 = (1 + (1+3) / (1+3.70043971814109)));
Candidato aceptado

Referencias bibliográficas encontradas sobre cada término

(Que existan referencias dedicadas a un término es también indicio de terminologicidad.)
bayesian
: Donnelly, Vivian Wauters, Sérgio Meira y Zachary O’Hagan 2015. A Bayesian Phylogenetic Classification of Tupí-Guaraní. Liames. 15, 2, 193-221. [50]https://doi.org/10.20396/liames.v15i2.8642301.
: John, G. & Langley, P. (1995). Estimating continuous distributions in bayesian classifiers. Ponencia presentada en el 11th Conference on Uncertainty in Artificial Intelligence, Montreal, Canadá .
: Kononenko, I. (1991). Semi-naive bayesian classifier. Ponencia presentada en el European Working Sesion on Learning on Machine Learning, Porto, Portugal.
: Michael, L., Chousou-Polydouri, N., Bartolomei, K., Donnelly, E., Wauters, V., Meira, S. & O’Hagan, Z. (2015). A bayesian phylogenetic classification of Tupí-Guaraní. LIAMES, 15(2), 193-221.
: Rosa, M. J., Bestmann, S., Harrison, L. & Penny, W. D. (2010). Bayesian model selection maps for group studies. Neuroimage, 49(1), 217-224. doi:10.1016/j.neuroimage.2009.08.051