Results 41 to 50 of about 13,346,045 (362)
Nonpartisan Education Review, 2019 This survey of the high school mathematics and science requirements for admission to the 11 colleges of engineering in Massachusetts in 2003 provides interesting facts in Tables 3 and 4.
Center for Teaching and Learning
doaj
Neuromorphic Hardware Learns to Learn [PDF]
Frontiers in Neuroscience, 2019 Hyperparameters and learning algorithms for neuromorphic hardware are usually chosen by hand. In contrast, the hyperparameters and learning algorithms of networks of neurons in the brain, which they aim to emulate, have been optimized through extensive evolutionary and developmental processes for specific ranges of computing and learning tasks ...
Bohnstingl, Thomas +4 more
openaire +6 more sources
Cell‐free and extracellular vesicle microRNAs with clinical utility for solid tumors
Molecular Oncology, EarlyView.Cell‐free microRNAs (cfmiRs) are small‐RNA circulating molecules detectable in almost all body biofluids. Innovative technologies have improved the application of cfmiRs to oncology, with a focus on clinical needs for different solid tumors, but with emphasis on diagnosis, prognosis, cancer recurrence, as well as treatment monitoring.
Yoshinori Hayashi +6 more
wiley +1 more source
Semi-supervised Learning on Large Graphs: is Poisson Learning a Game-Changer? [PDF]
arXiv, 2022 We explain Poisson learning on graph-based semi-supervised learning to see if it could avoid the problem of global information loss problem as Laplace-based learning methods on large graphs. From our analysis, Poisson learning is simply Laplace regularization with thresholding, cannot overcome the problem.
arxiv
Smart learning futures: a report from the 3rd US-China smart education conference
Smart Learning Environments, 2018 The third day of the third US-China Smart Education Conference featured a discussion with 27 thinkers representing higher education, business and industry, vocational training, and policy making.
J. Michael Spector +1 more
doaj +1 more source
Molecular Oncology, EarlyView.Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran +16 more
wiley +1 more source
Molecular Oncology, EarlyView.Prostate cancer is a leading malignancy with significant clinical heterogeneity in men. An 11‐gene signature derived from dysregulated epithelial cell markers effectively predicted biochemical recurrence‐free survival in patients who underwent radical surgery or radiotherapy.
Zhuofan Mou, Lorna W. Harries
wiley +1 more source
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning [PDF]
arXiv, 2020 This article reviews meta-learning also known as learning-to-learn which seeks rapid and accurate model adaptation to unseen tasks with applications in highly automated AI, few-shot learning, natural language processing and robotics. Unlike deep learning, meta-learning can be applied to few-shot high-dimensional datasets and considers further improving
arxiv
To learn or not to learn ......
, 1996 Multiagent systems in which agents interact with each other are now being proposed as a solution to many problems which can be grouped together under the “distributed problem solving” umbrella. For such systems to work properly, it is necessary that agents learn from their environment and adapt their behaviour accordingly.
openaire +3 more sources
Molecular Oncology, EarlyView.Patient engagement involves actively including patients in healthcare decisions and research to ensure care and studies align with their needs. This approach improves outcomes, trust, and communication while fostering collaboration between patients and professionals.
Estela Cepeda +3 more
wiley +1 more source