Results 71 to 80 of about 1,734,839 (338)
Frequently Observed Grammatical Errors of Japanese EFL Learners: Their Theoretical Implications [PDF]
, 2019 This preliminary study investigates what grammatical errors are most frequently observed in Japanese EFL (English as a Foreign Language) learners even after the six years of English learning. By a series of free writing tasks, 2691 English sentences were
YAMADA, Toshiyuki
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HoloDetect: Few-Shot Learning for Error Detection
, 2019 We introduce a few-shot learning framework for error detection. We show that data augmentation (a form of weak supervision) is key to training high-quality, ML-based error detection models that require minimal human involvement. Our framework consists of
Bengio Yoshua +9 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background There is growing recognition of the potential of plasma proteomics for Alzheimer's Disease (AD) risk assessment and disease characterization. However, differences between proteomics platforms introduce uncertainties regarding cross‐platform applicability.
Manyue Hu +9 more
wiley +1 more source
Learning with Errors: A Lattice-Based Keystone of Post-Quantum Cryptography
SignalsThe swift advancement of quantum computing devices holds the potential to create robust machines that can tackle an extensive array of issues beyond the scope of conventional computers.
Maria E. Sabani +2 more
doaj +1 more source
Cold Boot Attacks on Ring and Module LWE Keys Under the NTT
Transactions on Cryptographic Hardware and Embedded Systems, 2018 In this work, we consider the ring- and module- variants of the LWE problem and investigate cold boot attacks on cryptographic schemes based on these problems, wherein an attacker is faced with the problem of recovering a scheme’s secret key from a noisy
Martin R. Albrecht +2 more
doaj +1 more source
Learning to Express Reward Prediction Error-like Dopaminergic Activity Requires Plastic Representations of Time [PDF]
, 2022 Ian Cone +2 more
openalex +1 more source
Modular Distributed Nonconvex Learning With Error Feedback
IEEE Control Systems LettersIn this paper, we design a novel distributed learning algorithm using stochastic compressed communications. In detail, we pursue a modular approach, merging ADMM and a gradient-based approach, benefiting from the robustness of the former and the computational efficiency of the latter.
Guido Carnevale, Nicola Bastianello
openaire +3 more sources
Higher Amyloid and Tau Burden Is Associated With Faster Decline on a Digital Cognitive Test
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective A 2‐min digital clock‐drawing test (DCTclock) captures more granular features of the clock‐drawing process than the pencil‐and‐paper clock‐drawing test, revealing more subtle deficits at the preclinical stage of Alzheimer's disease (AD). A previous cross‐sectional study demonstrated that worse DCTclock performance was associated with
Jessie Fanglu Fu +16 more
wiley +1 more source
Lessons Learned: Quality Analysis of Optical Coherence Tomography in Neuromyelitis Optica
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Optical coherence tomography (OCT)‐derived retina measurements are markers for neuroaxonal visual pathway status. High‐quality OCT scans are essential for reliable measurements, but their acquisition is particularly challenging in eyes with severe visual impairment, as often observed in neuromyelitis optica spectrum disorders ...
Hadi Salih +40 more
wiley +1 more source
Robustness of the Learning with Errors Assumption [PDF]
, 2010 Starting with the work of Ishai-Sahai-Wagner and Micali-Reyzin, a new goal has been set within the theory of cryptography community, to design cryptographic primitives that are secure against large classes of side-channel attacks.
Goldwasser, Shafi +3 more
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