Results 51 to 60 of about 691,007 (262)
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
Automatic Generation of Road Maps from Low Quality GPS Trajectory Data via Structure Learning
IEEE Access, 2018 Up-to-date road maps are critical for intelligent transportation applications, such as car navigation and route planning. Unfortunately, conventional road map generation through surveying and image digitizing is labor intensive and time consuming ...
Jincai Huang +6 more
doaj +1 more source
Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations
FEBS Letters, EarlyView.The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas +6 more
wiley +1 more source
Structured learning modulo theories
Artificial Intelligence, 2017 Modelling problems containing a mixture of Boolean and numerical variables is a long-standing interest of Artificial Intelligence. However, performing inference and learning in hybrid domains is a particularly daunting task. The ability to model this kind of domains is crucial in "learning to design" tasks, that is, learning applications where the goal
Teso, Stefano +2 more
openaire +4 more sources
A Hybrid Structure Learning Algorithm for Bayesian Network Using Experts’ Knowledge
Entropy, 2018 Bayesian network structure learning from data has been proved to be a NP-hard (Non-deterministic Polynomial-hard) problem. An effective method of improving the accuracy of Bayesian network structure is using experts’ knowledge instead of only using
Hongru Li, Huiping Guo
doaj +1 more source
α‐Synuclein aggregation landscape from phase separation to neurotoxic intermediates
FEBS Letters, EarlyView.Alpha‐synuclein aggregation in Parkinson's disease involves a complex landscape of transient intermediates, including oligomers, fibrils and liquid–liquid phase separation (LLPS). A view is emerging in which LLPS maturation into solid‐like condensates may contribute to the formation of neurotoxic species.
Silvia Arino +2 more
wiley +1 more source
Unsupervised Learning of Visual Structure [PDF]
Journal of Vision, 2002 To learn a visual code in an unsupervised manner, one may attempt to capture those features of the stimulus set that would contribute significantly to a statistically efficient representation (as dictated, e.g., by the Minimum Description Length principle).
Shimon Edelman +2 more
openaire +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 structure of intrinsic complexity of learning [PDF]
Journal of Symbolic Logic, 1995 AbstractLimiting identification of r.e. indexes for r.e. languages (from a presentation of elements of the language) and limiting identification of programs for computable functions (from a graph of the function) have served as models for investigating the boundaries of learnability.
Jain, S., Sharma, A.
openaire +2 more sources
Social structure learning in human anterior insula
eLife, 2020 Humans form social coalitions in every society, yet we know little about how we learn and represent social group boundaries. Here we derive predictions from a computational model of latent structure learning to move beyond explicit category labels and ...
Tatiana Lau +2 more
doaj +1 more source