Results 41 to 50 of about 65,366 (350)
A fuzzy concept-cognitive learning method integrating fuzzy coverage
Concept-cognitive learning is an emerging interdisciplinary research area that aims to continuously learn new knowledge by imitating the human cognitive process.
WU Yuqing;LIN Yidong;LIANG Taoju
doaj +1 more source
Learning Multimodal Latent Attributes
—The rapid development of social media sharing has created a huge demand for automatic media classification and annotation techniques. Attribute learning has emerged as a promising paradigm for bridging the semantic gap and addressing data sparsity via ...
Yanwei Fu +7 more
core +1 more source
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source
Forgetting-Based Concept-Cognitive Learning for Classification in Fuzzy Formal Decision Context
Concept-cognitive learning reveals the principle of human cognition by simulating the brain’s process of learning and processing concepts. Nevertheless, for neighborhood similarity granules, the average information of objects regarding all attributes is ...
Chuanhong Sun +2 more
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The continuous emergence of new technologies has contributed to the impending reality of service robots an upcoming reality. When interacting with humans, robots must adapt to changing environments.
Liliana Villamar Gomez, Jun Miura
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In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes +32 more
wiley +1 more source
: Reading the five chapters in this part of the book has made me realize that, as is often the case with attitudes towards topics that are not often revisited, my view of learning objects was based on a simplified and rather crude version, based on ...
J. Terry Mayes
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Learning intermediate object affordances: Towards the development of a tool concept [PDF]
{agoncalves, jabrantes, gsaponaro, ljamone, alex}@isr.ist.utl.ptAbstract Inspired by the extraordinary ability of younginfants to learn how to grasp and manipulate objects, manyworks in robotics have proposed developmental approaches toallow robots to learn the effects of their own motor actions onobjects, i.e., the objects affordances.
Afonso Gonçalves 0001 +4 more
openaire +1 more source
Bioscience students were asked for their opinions on the value and teaching of skills. 204 responded that teamwork, time management and study skills are necessary to reach University, that scientific writing, research, laboratory and presentation skills are taught effectively during their studies, while other skills are gained inherently through study ...
Janella Borrell, Susan Crennell
wiley +1 more source
Automatic Extraction and Labelling of Memorial Objects From 3D Point Clouds
This research addresses the problem of automatic extraction of memorial objects from cultural heritage sites represented as scenes of 3D point clouds. Point clouds provide a fine spatial resolution and accurate proxy of the real world.
Nicholas Arnold +3 more
doaj +1 more source

