Results 61 to 70 of about 11,928,939 (371)
Sequential Graph Convolutional Network for Active Learning [PDF]
Computer Vision and Pattern Recognition, 2020 We propose a novel pool-based Active Learning framework constructed on a sequential Graph Convolution Network (GCN). Each images feature from a pool of data represents a node in the graph and the edges encode their similarities.
Razvan Caramalau +2 more
semanticscholar +1 more source
Preparation for future active learning [PDF]
arXiv, 2022 It is well documented that students sometimes resist active learning techniques. A recent study showed how students believed that they learned less in active learning classrooms than they learned in lectures, even though they learned more. In this article, we describe a method for introducing active learning methods to college students that is based on
arxiv
Frontiers in Psychology, 2022 BackgroundPhysical activity (PA) and Physical fitness (PF) have received tremendous attention in the field of physical and mental health. However, limited attention has been given to the associations of self-reported physical fitness with some health ...
Chongyan Shi +4 more
doaj +1 more source
Active Learning – Modern Learning Theory [PDF]
, 2014 Most classic machine learning methods depend on the assumption that humans can annotate all the data available for training. However, many modern machine learning applications (including image and video classification, protein sequence classification, and speech processing) have massive amounts of unannotated or unlabeled data.
Maria-Florina Balcan, Ruth Urner
openaire +1 more source
A novel activity pattern generation incorporating deep learning for transport demand models [PDF]
arXiv, 2021 Activity generation plays an important role in activity-based demand modelling systems. While machine learning, especially deep learning, has been increasingly used for mode choice and traffic flow prediction, much less research exploiting the advantage of deep learning for activity generation tasks.
arxiv
Batch Mode Active Learning Based on Multi-Set Clustering
IEEE Access, 2021 Batch mode active learning, where a batch of samples is simultaneously selected and labeled, is a challenging task. The challenge lies in how to maintain the informativeness and keep the diversity of selected samples concurrently.
Yazhou Yang +5 more
doaj +1 more source
Sequential Learning of Active Subspaces [PDF]
Journal of Computational and Graphical Statistics, 2021 In recent years, active subspace methods (ASMs) have become a popular means of performing subspace sensitivity analysis on black-box functions. Naively applied, however, ASMs require gradient evaluations of the target function. In the event of noisy, expensive, or stochastic simulators, evaluating gradients via finite differencing may be infeasible. In
Nathan Wycoff +2 more
openaire +6 more sources
This is me! Becoming the best of be: A case study
Forum for Group Psychotherapies and ProcessesSince the beginning of humanity, questions about our identity, purpose, and origins have been at the forefront of our existential concerns. This case study article aims to approximate practical answers to these questions.
Carlos A Raimundo, Melanie Raimundo
doaj +1 more source
How to Help Young Children Ask Better Questions?
Frontiers in Psychology, 2021 In this paper, we investigate the informativeness of 4- to 6-year-old (N = 125) children’s questions using a combined qualitative and quantitative approach.
Azzurra Ruggeri +4 more
doaj +1 more source
Active Citizenship by Active Learning
Journal of Applied Sciences, 2014 Active citizenship is a way of development greater young citizen responsibility. It is a combination of obligations and responsibilities through involvement in civic issues. Be an active citizen need new ways of educating students which are different from traditional learning methods.
Ahrari, Seyedali +4 more
openaire +2 more sources