نتائج البحث - "CONCEPT learning"

1

دورية

Samsung Researchers Provide New Study Findings on Engineering (Ultra-Wideband Radar-Based Sleep Stage Classification in Smartphone Using an End-to-End Deep Learning).

المصدر: Respiratory Therapeutics Week; 5/24/2024, p1005-1005, 1p

مصطلحات موضوعية: SLEEP stages, DEEP learning, RESEARCH personnel, POLYSOMNOGRAPHY, SMARTPHONES, CONVOLUTIONAL neural networks, CONCEPT learning, SIGNAL convolution

الشركة/الكيان: SAMSUNG Group (Company)

2

دورية أكاديمية

Learn, Play, Design: Using the Escape Room Concept to Teach Creativity and Innovation in a Business Course.

المؤلفون: Bowyer, Shane

المصدر: Business Education Innovation Journal; Jun2021, Vol. 13 Issue 1, p59-67, 9p

مصطلحات موضوعية: ESCAPE rooms, CONCEPT learning, INNOVATIONS in business, INSTRUCTIONAL innovations, BUSINESS skills

3

دورية

Studies from Infosys Ltd. Have Provided New Data on Diabetic Retinopathy (Application of Deep Learning Approaches for Classification of Diabetic Retinopathy Stages From Fundus Retinal Images: a Survey).

المصدر: Diabetes Week; 2024, p449-449, 1p

مصطلحات موضوعية: DIABETIC retinopathy, RETINAL imaging, DEEP learning, DIABETIC angiopathies, CONCEPT learning, EYE diseases, MACHINE learning

مصطلحات جغرافية: MYSURU (India)

4

دورية

Research from GIK Institute of Engineering Sciences and Technology Yields New Findings on Breast Cancer (Discriminative Dictionary Learning Using Penalized Rank-1 Approximation for Breast Cancer Classification With Imbalanced Dataset).

المصدر: Women's Health Weekly; 2/2/2024, p816-816, 1p

مصطلحات موضوعية: TUMOR classification, BREAST cancer, MACHINE learning, CONCEPT learning

5

Playing the game just enough: How racially minoritized faculty who advance equity conceptualize success in the neoliberal academy

المؤلفون: Raquel Wright-Mair, Samuel D. Museus

المصدر: Journal of Diversity in Higher Education. 16:109-119

مصطلحات موضوعية: Higher education, business.industry, Political economy, Political science, Concept learning, Equity (finance), business, Education, Liberalism (international relations)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::d7c4e4a26e97b3b8c6d14df79070a5a0
https://doi.org/10.1037/dhe0000304

6

Exemplar-model account of categorization and recognition when training instances never repeat

المؤلفون: Robert M. Nosofsky, Mingjia Hu

المصدر: Journal of Experimental Psychology: Learning, Memory, and Cognition. 48:1947-1969

مصطلحات موضوعية: Linguistics and Language, Dissociation (neuropsychology), business.industry, Contrast (statistics), Experimental and Cognitive Psychology, PsycINFO, Exemplar theory, computer.software_genre, Language and Linguistics, Small set, Categorization, Null (SQL), Concept learning, Artificial intelligence, Psychology, business, computer, Natural language processing

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::177cfe255e0ea4145aa7bf31bd867389
https://doi.org/10.1037/xlm0001008

7

Semi-Supervised Concept Learning by Concept-Cognitive Learning and Concept Space

المؤلفون: Yunlong Mi, Wenqi Liu, Jinhai Li, Yong Shi

المصدر: IEEE Transactions on Knowledge and Data Engineering. 34:2429-2442

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::6b4d3a47204ce917a55afdcb4b48681d
https://doi.org/10.1109/tkde.2020.3010918

8

Linear separability, irrelevant variability, and categorization difficulty

المؤلفون: Luke A. Rosedahl, F. Gregory Ashby

المصدر: J Exp Psychol Learn Mem Cogn

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b9b7dc7d7c7b1237c63b3619f018ec3
https://doi.org/10.1037/xlm0001000

9

A logical framework to study concept-learning biases in the presence of multiple explanations

المؤلفون: Sergio Abriola, Santiago Figueira, Pablo Tano, Sergio Romano

المصدر: CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET

مصطلحات موضوعية: Exploit, Logic, Computer science, Concept Formation, Experimental and Cognitive Psychology, 010501 environmental sciences, Machine learning, computer.software_genre, 01 natural sciences, 050105 experimental psychology, purl.org/becyt/ford/1 [https], Bias, Arts and Humanities (miscellaneous), Concept learning, Developmental and Educational Psychology, Humans, Learning, PROPOSITIONAL LOGIC, 0501 psychology and cognitive sciences, Set (psychology), General Psychology, 0105 earth and related environmental sciences, business.industry, 05 social sciences, purl.org/becyt/ford/1.2 [https], Propositional calculus, CONCEPT LEARNING, Logical framework, Classification rule, Psychology (miscellaneous), Artificial intelligence, Construct (philosophy), business, computer, LEARNING BIASES, Counterexample

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca2be7d6b1b83c14f1a6b1452f14d6c6
https://doi.org/10.3758/s13428-021-01596-4

10

An incremental learning mechanism for object classification based on progressive fuzzy three-way concept

المؤلفون: Kehua Yuan, Wentao Li, Weihua Xu, Weiping Ding

المصدر: Information Sciences. 584:127-147

مصطلحات موضوعية: Information Systems and Management, Degree (graph theory), Computer science, business.industry, Process (engineering), Mechanism (biology), Cognition, Object (computer science), Fuzzy logic, Computer Science Applications, Theoretical Computer Science, Artificial Intelligence, Control and Systems Engineering, Concept learning, Fuzzy concept, Artificial intelligence, business, Software

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::a269b0b67fa2cec3002037e4b559d94f
https://doi.org/10.1016/j.ins.2021.10.058

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