Results 121 to 130 of about 69,905 (296)
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
Environmental Decision Making and Risk Management for Groundwater Systems [PDF]
With an eye to a specific application in New Zealand, Ms. Gough explores the use of risk management approaches for environmental decision making at strategic, policy, management and operational ...
Gough, Janet D.
core +1 more source
BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models
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
Linguistic Intuitions: Error Signals and the Voice of Competence [PDF]
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
Device‐Level Implementation of Reservoir Computing With Memristors
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
Conditional acceptability refers to how plausible a conditional statement is perceived to be. It plays an important role in communication and reasoning, as it influences how individuals interpret implications, assess arguments, and make decisions based on hypothetical scenarios. When humans evaluate how acceptable a conditional "If A, then B" is, their
Orth, Jasmin +2 more
openaire +2 more sources
Dimensions of the AI Divide: Digital Inequality and Psychological Consequences
ABSTRACT Artificial intelligence (AI) has become a foundational component of contemporary social, economic, and political life. Yet, the ways in which AI reshapes patterns of exclusion beyond questions of access and technical capability remain insufficiently theorized.
Christos Papaioannou
wiley +1 more source
Stochastic phonological grammars and acceptability
In foundational works of generative phonology it is claimed that subjects can reliably discriminate between possible but non-occurring words and words that could not be English.
Coleman, John, Pierrehumbert, Janet
core +3 more sources
Agricultural Injuries With Dementia: Double Whammy?
ABSTRACT Background Nearly 40% of US farmers are over 65 years old. Some emerging evidence links agricultural occupational exposure to increased dementia risk. However, little is known about dementia and injury outcomes in agricultural settings. Methods We employed data from the American College of Surgeons Trauma Quality Programs Participant Use File (
Kanika Arora +3 more
wiley +1 more source
According to the historical empirical consensus in the field, wh-argument extraction from embedded wh-questions gives rise to island effects in English, but not in Spanish.
Claudia Pañeda +3 more
doaj +2 more sources

