Results 341 to 350 of about 11,928,939 (371)

Deep active learning with high structural discriminability for molecular mutagenicity prediction. [PDF]

Commun Biol
Xu H, Zhao Y, Zhang Y, Han J, Zan P, He S, Bo X.   +6 more
europepmc   +1 more source

Assessing the Effectiveness of Student-generated Scenario-based Questions as a Tool for Active Learning. [PDF]

Int J Appl Basic Med Res
Dhar DK, Saiyad S, Mahajan N.
europepmc   +1 more source

Finding the most potent compounds using active learning on molecular pairs. [PDF]

Beilstein J Org Chem
Fralish Z, Reker D.
europepmc   +1 more source

Active Learning Exercises in Synaptic Physiology and Connectivity for the Neuroscience Lecture Hall, Laboratory Course, or Outreach Setting. [PDF]

J Undergrad Neurosci Educ
Meadows A, Sweiss R, Kanchana V, Stout RF, Otazu GH, Nicholas A, Ramos RL.   +6 more
europepmc   +1 more source

Optimal disease surveillance with graph-based Active Learning

Tsui JL, Zhang M, Sambaturu P, Busch-Moreno S, Suchard MA, Pybus OG, Flaxman S, Semenova E, Kraemer MUG.   +8 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Contextual Diversity for Active Learning

European Conference on Computer Vision, 2020
Requirement of large annotated datasets restrict the use of deep convolutional neural networks (CNNs) for many practical applications. The problem can be mitigated by using active learning (AL) techniques which, under a given annotation budget, allow to ...
Sharat Agarwal, H. Arora, Saket Anand, Chetan Arora   +3 more
semanticscholar   +1 more source

Hyperspectral Image Classification With Convolutional Neural Network and Active Learning

IEEE Transactions on Geoscience and Remote Sensing, 2020
Deep neural network has been extensively applied to hyperspectral image (HSI) classification recently. However, its success is greatly attributed to numerous labeled samples, whose acquisition costs a large amount of time and money.
Xiangyong Cao, Jing Yao, Zongben Xu, Deyu Meng   +3 more
semanticscholar   +1 more source

Activity and Children's Learning

Child Development, 1974
WOLFF, PETER; LEVIN, JOEL R.; and LONGOBARDI, ELLEN T. Activity and Children's Learning. CHILD DEVELOPMENT, 1974, 45, 221-223. Using a yoked control procedure, kindergartners either produced or observed interactions between pairs of toys. When paired-associate recognition was tested immediately, no performer-observer differences were detected.
Ellen T. Longobardi, Joel R. Levin, Peter H. Wolff   +2 more
openaire   +3 more sources

Authentic Activity and Learning [PDF]

British Journal of Educational Studies, 1994
Abstract This article describes the tension that exists between the views of learning as a means of knowledge transfer and the alternative idea that it is socially situated and not separable from the activities in which it is developed. It concludes that the ‘authentic practices’ of particular academic domains should be employed in schools to encourage
Elizabeth Clayden, William B. Rawson, Colin Mills, Charles Desforges   +3 more
openaire   +1 more source

Explainable Active Learning (XAL)

Proc. ACM Hum. Comput. Interact., 2021
The wide adoption of Machine Learning (ML) technologies has created a growing demand for people who can train ML models. Some advocated the term "machine teacher'' to refer to the role of people who inject domain knowledge into ML models. This "teaching''
Bhavya Ghai, Q. Liao, Yunfeng Zhang, R. Bellamy, Klaus Mueller   +4 more
semanticscholar   +1 more source