Results 121 to 130 of about 105,654 (301)

Prototypical low-level constructions - experimental evidence for the possessive preposition in Hebrew

open access: yesCogniTextes
This paper aims to test the hypothesis that prototypical discourse profiles of productive constructions are stored independently by speakers.
Ittamar Erb
doaj   +1 more source

Linguistic Intuitions: Error Signals and the Voice of Competence [PDF]

open access: yes
Linguistic intuitions are a central source of evidence across a variety of linguistic domains. They have also long been a source of controversy. This chapter aims to illuminate the etiology and evidential status of at least some linguistic intuitions by ...
Gross, Steven
core  

Data‐Driven High‐Throughput Volume Fraction Estimation From X‐Ray Diffraction Patterns

open access: yesAdvanced Intelligent Discovery, EarlyView.
Long exposure times and the need for manual evaluation limit the use of X‐ray diffraction in high‐throughput applications. This study presents a data‐driven approach addressing both issues. HiVE (a method for High‐throughput Volume fraction Estimation) performs composition estimation for high‐noise XRD patterns produced using polychromatic emission ...
Hawo H. Höfer   +6 more
wiley   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy   +8 more
wiley   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

open access: yesAdvanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan   +7 more
wiley   +1 more source

Analyzing Quantitative Models [PDF]

open access: yes
How can a potential user distinguish between a quantitative model that may be of some real value and one that is not? The model builder rarely provides much help, since most are advocates of their own work and tend to lose their objectivity toward the ...
Armstrong JS, Shapiro George
core  

Nominal predication and focus anchoring [PDF]

open access: yes, 2013
It will be shown that verbs can be missing in predicative sentences by using the data from Chinese. Copula-less sentences in Chinese are subject to 'Generalized Anchoring Principle' (GAP), which requires that every clause be anchored at the interface for
Tang, Sze-Wing
core  

Incoherent but Reasonable: A Defense of Truth-Abstinence in Political Liberalism [PDF]

open access: yes, 2020
A strength of liberal political institutions is their ability to accommodate pluralism, both allowing divergent comprehensive doctrines as well as constructing the common ground necessary for diverse people to live together.
Schaefer, Alexander, Siscoe, Wes
core  

Device‐Level Implementation of Reservoir Computing With Memristors

open access: yesAdvanced Intelligent Systems, EarlyView.
Reservoir computing (RC) is an emerging computing scheme that employs a reservoir and a single readout layer, which can be actualized in the nanoscale with memristors. As a comprehensive overview, the principles of RC and the switching mechanisms of memristors are discussed, followed by actual demonstrations of memristor‐based RC and the remaining ...
Sunbeom Park, Hyojung Kim, Ho Won Jang
wiley   +1 more source

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