Uncertainty-based information measures on the approximate non-parametric predictive inference model

2021 ◽  
pp. 1-23
Author(s):  
Serafín Moral-García ◽  
Joaquín Abellán
Keyword(s):  
Predictive Inference ◽  
Inference Model ◽  
Information Measures ◽  
Non Parametric

Non-parametric predictive inference for solving multi-label classification

2020 ◽  
Vol 88 ◽  
pp. 106011
Author(s):  
Serafín Moral-García ◽  
Carlos J. Mantas ◽  
Javier G. Castellano ◽  
Joaquín Abellán
Keyword(s):  
Predictive Inference ◽  
Non Parametric

scholarly journals Non-parametric predictive inference for future order statistics

2017 ◽  
Vol 47 (10) ◽  
pp. 2527-2548 ◽  
Author(s):  
Frank P. A. Coolen ◽  
Tahani Coolen-Maturi ◽  
Hana N. Alqifari
Keyword(s):  
Order Statistics ◽  
Predictive Inference ◽  
Non Parametric

Predictive Inference Activation

2012 ◽  
Vol 71 (3) ◽  
pp. 141-148 ◽  
Author(s):  
Doriane Gras ◽  
Hubert Tardieu ◽  
Serge Nicolas
Keyword(s):  
Naming Task ◽  
Word Naming ◽  
Predictive Inference ◽  
Text Reading ◽  
Predictive Inferences

Predictive inferences are anticipations of what could happen next in the text we are reading. These inferences seem to be activated during reading, but a delay is necessary for their construction. To determine the length of this delay, we first used a classical word-naming task. In the second experiment, we used a Stroop-like task to verify that inference activation was not due to strategies applied during the naming task. The results show that predictive inferences are naturally activated during text reading, after approximately 1 s.

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