scholarly journals Descriptor-Free Representation of Arrays with Dependent Types

Author(s):  
Kai Trojahner ◽  
Clemens Grelck
Semiotica ◽  
2015 ◽  
Vol 2015 (203) ◽  
Author(s):  
Erzsébet Szabó

AbstractThe aim of the present paper is to discuss the question of why readers accept a literary narrative discourse attributed traditionally to an “omniscient third-person narrator” unconditionally as true. I will advocate two theses. First, that this characteristic of narrative comprehension is a consequence of a grammatical feature of the narrative discourse, namely, the absence of the “narrating-I.” This format mimics what Cosmides and Tooby label as scope-free representation, i.e., a representation that is not bound by scope-operators and thus treated by a cognitive architecture as architecturally true. Second, narrative discourse ascribed traditionally to a third person narrator should be understood as the linguistic representation of the true states of affairs of a narrative world.


Author(s):  
Nikhil Swamy ◽  
Juan Chen ◽  
Cédric Fournet ◽  
Pierre-Yves Strub ◽  
Karthikeyan Bhargavan ◽  
...  

2014 ◽  
Vol 49 (10) ◽  
pp. 233-249 ◽  
Author(s):  
Nada Amin ◽  
Tiark Rompf ◽  
Martin Odersky

2021 ◽  
Author(s):  
Federico Pizzuti ◽  
Michel Steuwer ◽  
Christophe Dubach

2018 ◽  
Vol 2 (ICFP) ◽  
pp. 1-31 ◽  
Author(s):  
Youyou Cong ◽  
Kenichi Asai

2021 ◽  
Author(s):  
Dong Hyeon Mok ◽  
Seoin Back

For CO* and H* binding energy prediction, we develop new representation of catalyst surface which split surface into three types of site, first nearest neighbor of adsorbates and second nearest neighbor in same layer and sublayer. From this representation and machine learning regression model, we achieve reasonable accuracy (0.120 eV for CO* and 0.105 eV for H*) with quick training (~200 sec using CPU). Because our representation does not require density functional calculation and atomic structure modelling, it can predict binding energies of possible active motifs without time-consuming steps.


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