Results 311 to 320 of about 3,244,889 (383)

Corrigendum: The influence of recipe disaggregation in dietary assessment: results from the national food consumption survey in Saint Kitts and Nevis. [PDF]

open access: yesFront Nutr
Crispim SP   +12 more
europepmc   +1 more source

Conditional Deep Learning Model Reveals Translation Elongation Determinants during Amino Acid Deprivation

open access: yes
Nallapareddy MV   +5 more
europepmc   +1 more source

A Survey of Large Language Models Attribution

arXiv.org, 2023
Open-domain generative systems have gained significant attention in the field of conversational AI (e.g., generative search engines). This paper presents a comprehensive review of the attribution mechanisms employed by these systems, particularly large ...
Dongfang Li   +7 more
semanticscholar   +1 more source

Attribute group for attribute reduction

Information Sciences, 2020
Abstract In the field of rough set, how to improve the efficiency of obtaining reduct has been paid much attention to. One of the typical strategies is to reduce the number of comparisons among samples, it follows that the time consumption of generating binary relation can be saved for quickly obtaining reduct.
Yan Chen   +7 more
openaire   +2 more sources

Estimates of frequency: Attribute or attribution?

Journal of Experimental Psychology: Learning, Memory, and Cognition, 1986
Subjects in two experiments were asked to estimate how often items had appeared in a studied list. If the estimates are based on the value of a frequency attribute, the implicit question is, "How many times did you think of this item during study?" If, on the other hand, estimates are memorial attributions, the implicit question is, "How many study ...
Donald Maxwell   +3 more
openaire   +2 more sources

Towards better understanding of gradient-based attribution methods for Deep Neural Networks

International Conference on Learning Representations, 2017
Understanding the flow of information in Deep Neural Networks (DNNs) is a challenging problem that has gain increasing attention over the last few years.
Marco Ancona   +3 more
semanticscholar   +1 more source

Authorship Attribution for Neural Text Generation

Conference on Empirical Methods in Natural Language Processing, 2020
In recent years, the task of generating realistic short and long texts have made tremendous advancements. In particular, several recently proposed neural network-based language models have demonstrated their astonishing capabilities to generate texts ...
Adaku Uchendu   +3 more
semanticscholar   +1 more source

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