Results 141 to 150 of about 386,074 (314)

Analysis of Students Error in Learning of Mole Concept among Selected Senior Secondary School Chemistry Students in Zaria, Nigeria

, 2015
Iosr Journals, Efe M. Omwirhiren
openalex   +1 more source

Predictive reward-prediction errors of climbing fiber inputs integrate modular reinforcement learning with supervised learning.

PLoS Computational Biology
Although the cerebellum is typically associated with supervised learning algorithms, it also exhibits extensive involvement in reward processing. In this study, we investigated the cerebellum's role in executing reinforcement learning algorithms, with a ...
Huu Hoang, Shinichiro Tsutsumi, Masanori Matsuzaki, Masanobu Kano, Keisuke Toyama, Kazuo Kitamura, Mitsuo Kawato   +6 more
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Influence of Geometric Design on Mechanical Performance of Auxetic Metastructure

Advanced Engineering Materials, EarlyView.
Strategic geometric reinforcement transforms auxetic performance. This study evaluates 3D‐printed arrowhead metastructures, revealing that a modified design with local ring reinforcement suppresses premature failure to achieve superior energy absorption and structural efficiency.
Muhammad Gulzari, Supharoek Sornsomrit, Muhammad Ayaz Akbar, Stephan Rudykh   +3 more
wiley   +1 more source

Learning from errors: unnecessary intensive care unit admissions. [PDF]

BMJ Case Rep, 2017
Rambarat CA, Winchester DE.
europepmc   +1 more source

Iaso: Enhancing Syntax Error Correction using Deep Learning Techniques [PDF]

, 2023
Wei Li, Weng‐Fai Wong
openalex   +1 more source

Robust Learning with Optimal Error

CoRR
We construct algorithms with optimal error for learning with adversarial noise. The overarching theme of this work is that the use of \textsl{randomized} hypotheses can substantially improve upon the best error rates achievable with deterministic hypotheses.
openaire   +2 more sources

A Dislocation Perspective on Strength and Toughness in Ceramics

Advanced Engineering Materials, EarlyView.
Dislocations in ceramics enjoy a long but yet under‐appreciated history. The three research waves for dislocations in ceramics highlight the topic evolution over the last 90 years. This review focuses on the impact of dislocation on strength and toughness in ceramics.
Xufei Fang
wiley   +1 more source

Learning from errors: analysis of medication order voiding in CPOE systems. [PDF]

J Am Med Inform Assoc, 2017
Kannampallil TG, Abraham J, Solotskaya A, Philip SG, Lambert BL, Schiff GD, Wright A, Galanter WL.   +7 more
europepmc   +1 more source

Robustness of the Learning with Errors Assumption.

, 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. Recently, many works have focused on designing various cryptographic primitives that are robust (retain security) even when
Goldwasser, Shafi, Kalai, Yael Tauman, Peikert, Chris, Vaikuntanathan, Vinod   +3 more
openaire   +2 more sources