المؤلفون: Trivedi, Varun, Mohseni, Amirsadra, Lonardi, Stefano, Wheeldon, Ian

مصطلحات موضوعية: Biochemistry and Cell Biology, Bioinformatics and Computational Biology, Biological Sciences, Machine Learning and Artificial Intelligence, Networking and Information Technology R&D (NITRD), Bioengineering, Generic health relevance, sgRNA activity prediction, balanced training data sets, training set composition, deep learning, CRISPRgenome editing, CRISPR genome editing, Medicinal and Biomolecular Chemistry, Biomedical Engineering, Biochemistry and cell biology, Bioinformatics and computational biology

وصف الملف: application/pdf

URL الوصول: https://escholarship.org/uc/item/4n64r36r
https://escholarship.org/content/qt4n64r36r/qt4n64r36r.pdf

المؤلفون: Zhao, Bo

المساهمون: Bilen, Hakan, Hospedales, Timothy

مصطلحات موضوعية: Dataset Condensation, Data-efficient Learning, Training Set Synthesis

URL الوصول: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.872292

المؤلفون: Javier Fernández-González, Bertrand Haquin, Eliette Combes, Karine Bernard, Alix Allard, Julio Isidro y Sánchez

المصدر: Plant Methods, Vol 20, Iss 1, Pp 1-23 (2024)

مصطلحات موضوعية: Genomic selection, Training set optimization, Sunflower hybrids, Historical data, Multi-objective optimization, Plant culture, SB1-1110, Biology (General), QH301-705.5

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1746-4811

URL الوصول: https://doaj.org/article/7ed496ec5d104047879a86b8489d333b

المؤلفون: Xirui Liu, Zhiyong Wang, Hongjun Ji, Helin Gong

المصدر: Heliyon, Vol 10, Iss 15, Pp e34928- (2024)

مصطلحات موضوعية: Adaptive sampling algorithm, Reduced order model, Pseudo-gradient sampling, Adaptive sparse grid sampling, Adaptive training set extension, Science (General), Q1-390, Social sciences (General), H1-99

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405844024109590; https://doaj.org/toc/2405-8440

URL الوصول: https://doaj.org/article/b3f08b4122384bbfaeae9c704ab4fa44

المؤلفون: Yanli Tian, Deyin Fu, Guangzheng Li

المصدر: IEEE Access, Vol 12, Pp 125416-125426 (2024)

مصطلحات موضوعية: Boundary samples, BP neural network model, dynamic clustering, training set, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10662936/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/6e40c26fc21344f2a451392bdafd01ee

المؤلفون: Maciej Aleksander Kędzierski

المصدر: Nowoczesne Systemy Zarządzania, Vol 18, Iss 4, Pp 49-68 (2023)

مصطلحات موضوعية: reinforcement learning, money laundering, multi-agent, training set, feedback, Management. Industrial management, HD28-70, Management information systems, T58.6-58.62

وصف الملف: electronic resource

Relation: https://nsz.wat.edu.pl/Propozycja-wykorzystania-uczenia-przez-wzmacnianie-w-celu-optymalizowania-podejmowania,188842,0,2.html; https://doaj.org/toc/1896-9380; https://doaj.org/toc/2719-860X

URL الوصول: https://doaj.org/article/c4032b2aef9c443094ee9b4bdc858831

المؤلفون: Jinjia Ruan, Jin He, Yao Tong, Yuchuan Wang, Yinghao Fang, Liang Qu

المصدر: Applied Sciences, Vol 14, Iss 17, p 7922 (2024)

مصطلحات موضوعية: defect detect, small training set, knowledge embedding relational network, gram operation, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/14/17/7922; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/2dde619e9b804a3fa6deca718aeaded9

المؤلفون: Yanlin Wang, Gang Li, Xinyue Zhang, Yue Wang, Zhenhao Zhang, Jupeng Li, Junqi Ma, Linghang Wang

المصدر: Diagnostics, Vol 14, Iss 18, p 2080 (2024)

مصطلحات موضوعية: deep learning, training set, oral radiology, CBCT, dental caries, Medicine (General), R5-920

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2075-4418/14/18/2080; https://doaj.org/toc/2075-4418

URL الوصول: https://doaj.org/article/0c8a42f045b74b5096afe2e403231a5a

المؤلفون: Kyle R. Stoltz, Mario F. Borunda

مصطلحات موضوعية: Biophysics, Biochemistry, Medicine, Biotechnology, Cancer, Plant Biology, Space Science, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Physical Sciences not elsewhere classified, Information Systems not elsewhere classified, supervised machine learning, simple linear regression, average percent errors, 4 %, respectively, training set consisting, new polymers composed, training set, new polymers, two well, monomers used, ionization potential, calculated bgs, benchmarking dft, abab orientations

Relation: https://figshare.com/articles/journal_contribution/Benchmarking_DFT_and_Supervised_Machine_Learning_An_Organic_Semiconducting_Polymer_Investigation/25048234

الاتاحة: https://doi.org/10.1021/acs.jpca.3c04905.s001
https://figshare.com/articles/journal_contribution/Benchmarking_DFT_and_Supervised_Machine_Learning_An_Organic_Semiconducting_Polymer_Investigation/25048234

المؤلفون: Bich P., Boretti C., Prono L., Pareschi F., Rovatti R., Setti G.

المساهمون: Bich, P., Boretti, C., Prono, L., Pareschi, F., Rovatti, R., Setti, G.

مصطلحات موضوعية: Vision Transformer, Neural Network, Deep Neural Network, Fully-connected Layer, Deep Neural Network Model, Edge Device, Pruning Technique, Training Set, Convolutional Neural Network, Computer Vision, Hidden Layer, Column Vector, Adam Optimizer, Data Augmentation, Sparse Model, Accuracy Of Network, Fully-connected Network, Magnitude Of Weight, Pruning Method

وصف الملف: STAMPA

Relation: info:eu-repo/semantics/altIdentifier/isbn/979-8-3503-8363-8; info:eu-repo/semantics/altIdentifier/wos/WOS:001280469200007; ispartofbook:Proceedings of the 2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS); 2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS); firstpage:337; lastpage:341; numberofpages:5; https://hdl.handle.net/11583/2991795; https://ieeexplore.ieee.org/document/10595859

الاتاحة: https://hdl.handle.net/11583/2991795
https://doi.org/10.1109/AICAS59952.2024.10595859
https://ieeexplore.ieee.org/document/10595859

المؤلفون: Hugues de Verdal, Cédric Baertschi, Julien Frouin, Constanza Quintero, Yolima Ospina, Maria Fernanda Alvarez, Tuong-Vi Cao, Jérôme Bartholomé, Cécile Grenier

المصدر: Rice, Vol 16, Iss 1, Pp 1-18 (2023)

مصطلحات موضوعية: Training set optimization, Genomic selection, Oryza sativa, Genotype-by-environment interaction, Plant culture, SB1-1110

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1939-8425; https://doaj.org/toc/1939-8433

URL الوصول: https://doaj.org/article/3e1fabe84b434af99fcc5ef97626aaa6

المؤلفون: Maciej Aleksander Kędzierski

المصدر: Nowoczesne Systemy Zarządzania, Vol 18, Iss 3, Pp 45-84 (2023)

مصطلحات موضوعية: reinforcement learning, money laundering, markov model, agent, training set, feedback, Management. Industrial management, HD28-70, Management information systems, T58.6-58.62

وصف الملف: electronic resource

Relation: https://nsz.wat.edu.pl/Propozycja-wykorzystania-uczenia-przez-wzmocnienie-nw-celu-optymalizowania-podejmowania,183867,0,2.html; https://doaj.org/toc/1896-9380; https://doaj.org/toc/2719-860X

URL الوصول: https://doaj.org/article/4d8dbc4db62444a7b2531fd974e236e2

المؤلفون: Liu Jiayao, Wang Linfeng, Wang Yunsheng, An MingMing, Jiang Wenfei, Xu Shipu

المصدر: IET Image Processing, Vol 17, Iss 8, Pp 2299-2308 (2023)

مصطلحات موضوعية: cross‐training set, few‐shot learning, pest detection, Photography, TR1-1050, Computer software, QA76.75-76.765

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1751-9659; https://doaj.org/toc/1751-9667

URL الوصول: https://doaj.org/article/50d9af555e574d7697415828b165d5ce

المؤلفون: Sang He, Shanshan Liang, Lijun Meng, Liyong Cao, Guoyou Ye

المصدر: Rice, Vol 16, Iss 1, Pp 1-12 (2023)

مصطلحات موضوعية: Sparse phenotyping, Training set, Linkage disequilibrium, Haplotype-based model, Genomic prediction, Rice, Plant culture, SB1-1110

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1939-8425; https://doaj.org/toc/1939-8433

URL الوصول: https://doaj.org/article/3a15567ffb224707a9da86b6e447bdff

المؤلفون: Wu Yanan, Zhang Xiaohui, Zhang Duo

المصدر: Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)

مصطلحات موضوعية: multimodal discourse, visual grammar, self-attention, wait-k strategy, multi30k training set, 97p10, Mathematics, QA1-939

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2444-8656

URL الوصول: https://doaj.org/article/03aaa2dd3481485f8995880528772926

المؤلفون: Saliba, Elie, Chenin, Eric, Vignes Lebbe, Régine

المصدر: Biodiversity Information Science and Standards, 8, e134816, (2024-08-16)

مصطلحات موضوعية: artificial intelligence, training set, curation, e-COL+

Relation: https://doi.org/10.3897/biss.7.112161; https://doi.org/10.3897/biss.6.94297; https://zenodo.org/communities/biosyslit; https://doi.org/10.3897/biss.8.134816; oai:zenodo.org:13360406

الاتاحة: https://doi.org/10.3897/biss.8.134816

المؤلفون: Drossinou Korea, Maria

المصدر: International Journal of Innovative Research in Multidisciplinary Education, 03(05), 858 - 865, (2024-05-30)

مصطلحات موضوعية: Special Education and Training [SET], Woman, Mental Disability, Sexual Abuse, Cinematographer

Relation: https://doi.org/10.5281/zenodo.11394948; https://doi.org/10.5281/zenodo.11394949; oai:zenodo.org:11394949

الاتاحة: https://doi.org/10.5281/zenodo.11394949

المؤلفون: Miguel Ibáñez-Berganza, Carlo Lucibello, Luca Mariani, Giovanni Pezzulo

مصطلحات موضوعية: Neuroscience, Biotechnology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, three different tasks, sophisticated social tasks, recent studies reported, primate inferotemporal cortex, first principle perspective, e ., yields, training set images, fixed landmark positions, facial stimuli reported, eigenface coding increases, novel facial images, image texture ), image principal components, principal components, facial images, landmark shape, image texture, image resolution, facial landmarks, facial identities, facial expressions, decoupled coding

Relation: https://figshare.com/articles/journal_contribution/The_Supporting_information_document_contains_detailed_information_regarding_protocols_and_mathematical_methods_/25076322

الاتاحة: https://doi.org/10.1371/journal.pone.0295054.s001
https://figshare.com/articles/journal_contribution/The_Supporting_information_document_contains_detailed_information_regarding_protocols_and_mathematical_methods_/25076322

المؤلفون: Prudencio Tossou, Cas Wognum, Michael Craig, Hadrien Mary, Emmanuel Noutahi

مصطلحات موضوعية: Medicine, Neuroscience, Sociology, Cancer, Mental Health, Environmental Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, data set characteristics, covariate shifts encountered, problem specification <, training set, world molecular, uncertainty estimation, uncertainty calibration, study sets, study presents, sample distances, rigorous framework, molecular scoring, model selection, model design, leads us, investigation <, investigating molecular, improving performance, first clarified, exciting avenue, drug discovery

Relation: https://figshare.com/articles/journal_contribution/Real-World_Molecular_Out-Of-Distribution_Specification_and_Investigation/25127259

الاتاحة: https://doi.org/10.1021/acs.jcim.3c01774.s001
https://figshare.com/articles/journal_contribution/Real-World_Molecular_Out-Of-Distribution_Specification_and_Investigation/25127259

المؤلفون: Tobias Schnitzer, Martin Schnurr, Andrew F. Zahrt, Nader Sakhaee, Scott E. Denmark, Helma Wennemers

مصطلحات موضوعية: Biochemistry, Medicine, Developmental Biology, Astronomical and Space Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, universal training set, driven versus expert, 000 tripeptide members, peptide thus far, hypothetical competition , containing 161 catalysts, conjugate addition reaction, machine learning strategy, identify peptide catalysts, peptide catalysts, modular catalysts, first , annulation reaction, machine learning, ∼ 30, vast number, various transformations, stereoselective catalyst, silico <, predicted structures, positive results

Relation: https://figshare.com/articles/journal_contribution/Machine_Learning_to_Develop_Peptide_Catalysts_Successes_Limitations_and_Opportunities/25150106

الاتاحة: https://doi.org/10.1021/acscentsci.3c01284.s001
https://figshare.com/articles/journal_contribution/Machine_Learning_to_Develop_Peptide_Catalysts_Successes_Limitations_and_Opportunities/25150106