Results 31 to 40 of about 1,259,133 (314)
Explainable Machine Learning [PDF]
, 2023 Machine learning methods are widely used in commercial applications and in many scientific areas [...
Jochen Garcke +3 more
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When Will Machines Learn? [PDF]
Machine Learning, 1989 Why don’t our learning programs just keep on going and become generally intelligent? The source of the problem is that most of our learning occurs at the fringe of what we already know. The more you know, the more (and faster) you can learn.
openaire +2 more sources
The Machine Learning Machine: A Tangible User Interface for Teaching Machine Learning
Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction, 2021 Machine Learning (ML) is often used invisibly in everyday applications with little opportunity for consumers to investigate how it works. In this paper, we expand recent efforts to unfold what students should know about ML and how to design tools and activities allowing them to engage with ML.
Magnus Høholt Kaspersen +2 more
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Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
FEBS Letters, EarlyView.Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source
The Institute for Ethics and Machine Learning [PDF]
, 2020 The Institute for Ethical AI & Machine Learning is a UK-based research centre that carries out highly-technical research into processes and frameworks that support the responsible development, deployment and operation of machine learning ...
The Institute for Ethics and Machine Learning
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Ensembles of Learning Machines [PDF]
, 2002 Ensembles of learning machines constitute one of the main current directions in machine learning research, and have been applied to a wide range of real problems. Despite of the absence of an unified theory on ensembles, there are many theoretical reasons for combining multiple learners, and an empirical evidence of the effectiveness of this approach ...
G. VALENTINI, MASULLI, FRANCESCO
openaire +3 more sources
The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
Equivariant diffusion for structure-based de novo ligand generation with latent-conditioning
Journal of CheminformaticsWe introduce PoLiGenX, a novel generative model for de novo ligand design that employs latent-conditioned, target-aware equivariant diffusion. Our approach leverages the conditioning of the ligand generation process on reference molecules located within ...
Tuan Le +3 more
doaj +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
The need for open source software in machine learning [PDF]
, 2007 Open source tools have recently reached a level of maturity which makes them suitable for building large-scale real-world systems. At the same time, the field of machine learning has developed a large body of powerful learning algorithms for diverse ...
Ratsch, Gunnar +55 more
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