Results 91 to 100 of about 2,291,078 (312)
Reaction Chemistry & Engineering, 2020 High-throughput reaction screening has emerged as a useful means of rapidly identifying the influence of key reaction variables on reaction outcomes. We show that active machine learning can further this objective by eliminating dependence on complete ...
Natalie S. Eyke, W. Green, K. Jensen
semanticscholar +1 more source
FEBS Letters, EarlyView.We present the cellular transcription‐coupled Flp‐nick system allowing the introduction of a Top1‐mimicking cleavage complex (Flpcc) at a Flp recognition target site within a controllable LacZ gene. LacZ transcription leads to the collision of RNA polymerase II (RNAPII) with Flpcc, and this causes RNAPII stalling, ubiquitination, and degradation.
Petra Herring +6 more
wiley +1 more source
Employing active learning in the optimization of culture medium for mammalian cells
npj Systems Biology and Applications, 2023 Medium optimization is a crucial step during cell culture for biopharmaceutics and regenerative medicine; however, this step remains challenging, as both media and cells are highly complex systems.
Takamasa Hashizume +2 more
doaj +1 more source
Analyzing Effective Factors of Online Learning Performance by Interpreting Machine Learning Models
IEEE Access, 2023 Analyzing the effective factors influencing online learning performance is a research topic that has garnered significant attention. Traditional approaches, such as multiple regression and structural equation models, tend to assume linearity, while non ...
Wen Xiao, Juan Hu
doaj +1 more source
Ensemble Active Learning by Contextual Bandits for AI Incubation in Manufacturing [PDF]
arXiv, 2023 It is challenging but important to save annotation efforts in streaming data acquisition to maintain data quality for supervised learning base learners. We propose an ensemble active learning method to actively acquire samples for annotation by contextual bandits, which is will enforce the exploration-exploitation balance and leading to improved AI ...
arxiv
Kernel learning for ligand-based virtual screening: discovery of a new PPARgamma agonist [PDF]
, 2010 Poster presentation at 5th German Conference on Cheminformatics: 23. CIC-Workshop Goslar, Germany. 8-10 November 2009 We demonstrate the theoretical and practical application of modern kernel-based machine learning methods to ligand-based virtual ...
Hansen, Katja +9 more
core
Active Learning on Medical Image
, 2023 The development of medical science greatly depends on the increased utilization of machine learning algorithms. By incorporating machine learning, the medical imaging field can significantly improve in terms of the speed and accuracy of the diagnostic ...
Ali, Md Shahin +5 more
core
Activity recognition evaluation via machine learning [PDF]
ICST Transactions on Ambient Systems, 2019 With the proliferation of relatively cheap Internet of Things (IoT) devices, smart environments have beenhighlighted as an example of how the IoT can make our lives easier. Each of these ‘things’ produces datawhich can work in unison to react to its users.
Rameka, ANA, Connor, AM, Kruse, J
openaire +4 more sources
A stepwise emergence of evolution in the RNA world
FEBS Letters, EarlyView.How did biological evolution emerge from chemical reactions? This perspective proposes a gradual scenario of self‐organization among RNA molecules, where catalytic feedback on random mixtures plays the central role. Short oligomers cross‐ligate, and self‐assembly enables heritable variations. An event of template‐externalization marks the transition to
Philippe Nghe
wiley +1 more source
A Cognitive Science Based Machine Learning Architecture [PDF]
, 2006 In an attempt to illustrate the application of cognitive science principles to hard AI problems in machine learning we propose the LIDA technology, a cognitive science based architecture capable of more human-like learning. A LIDA based software agent or
Baars, Bernard J. +3 more
core +1 more source