Results 131 to 140 of about 11,928,939 (371)
Deep Active Learning with a Neural Architecture Search [PDF]
We consider active learning of deep neural networks. Most active learning works in this context have focused on studying effective querying mechanisms and assumed that an appropriate network architecture is a priori known for the problem at hand. We challenge this assumption and propose a novel active strategy whereby the learning algorithm searches ...
arxiv
Toward a Theory of Learner-Centered Training Design: An Integrative Framework of Active Learning [PDF]
[Excerpt] The goal of this chapter, therefore, is to develop an integrative conceptual framework of active learning, and we do this by focusing on three primary issues.
Bell, Bradford S, Kozlowski, Steve W. J.
core +1 more source
Mapping Hsp104 interactions using cross‐linking mass spectrometry
This study examines how cross‐linking mass spectrometry can be utilized to analyze ATP‐induced conformational changes in Hsp104 and its interactions with substrates. We developed an analytical pipeline to distinguish between intra‐ and inter‐subunit contacts within the hexameric homo‐oligomer and discovered contacts between Hsp104 and a selected ...
Kinga Westphal+3 more
wiley +1 more source
Supporting Project-Based Learning through Economical and Flexible Learning Spaces
Project-based learning often centers learning experiences around projects and is characterized by the application of knowledge, management of resources, and self-directed learning.
Jesse Eickholt+4 more
doaj +1 more source
The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik+3 more
wiley +1 more source
Activized Learning: Transforming Passive to Active with Improved Label Complexity [PDF]
We study the theoretical advantages of active learning over passive learning. Specifically, we prove that, in noise-free classifier learning for VC classes, any passive learning algorithm can be transformed into an active learning algorithm with asymptotically strictly superior label complexity for all nontrivial target functions and distributions.
arxiv
We obtained potential bacterial laccase‐like multicopper oxidase (LMCO) sequences through metagenomic sequencing. All sequences exhibited significant differences from known LMCOs in databases. To select the most promising candidates, we performed structure prediction and molecular docking using alphafold2, metal3d and rosetta.
Ting Cui+5 more
wiley +1 more source
Pierre SANTUCCI is a principal investigator at the CNRS—Aix Marseille Université and recipient of a FEBS Excellence Award. He was also recently appointed FEBS Open Bio Publishing Liaison Officer. In this Open Chat with…, he discusses the importance of engaging with scientific societies and their journals, and highlights through some of his personal ...
Pierre Santucci, Ioannis Tsagakis
wiley +1 more source
Active learning and the Irish treebank [PDF]
We report on our ongoing work in developing the Irish Dependency Treebank, describe the results of two Inter annotator Agreement (IAA) studies, demonstrate improvements in annotation consistency which have a knock-on effect on parsing accuracy, and ...
Dras, Mark+3 more
core +1 more source
The impact of frailty syndrome on skeletal muscle histology: preventive effects of exercise
Frailty syndrome exacerbates skeletal muscle degeneration via increased ECM deposition and myofiber loss. This study, using a murine model, demonstrates that endurance exercise attenuates these histopathological alterations, preserving muscle integrity. Findings support exercise as a viable strategy to counteract frailty‐induced musculoskeletal decline
Fujue Ji+3 more
wiley +1 more source