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Algorithms, Automation, and News [PDF]
This special issue examines the growing importance of algorithms and automation in the gathering, composition, and distribution of news. It connects a long line of research on journalism and computation with scholarly and professional terrain yet to be ...
Anderson C. W.+8 more
core +1 more source
We investigate ways in which an algorithm can improve its expected performance by fine-tuning itself automatically with respect to an unknown input distribution D. We assume here that D is of product type.
Ailon, Nir+5 more
core +2 more sources
Algorithms for entanglement renormalization [PDF]
We describe an iterative method to optimize the multi-scale entanglement renormalization ansatz (MERA) for the low-energy subspace of local Hamiltonians on a D-dimensional lattice.
G. Evenbly+4 more
core +2 more sources
A note on compact and compact circular edge-colorings of graphs [PDF]
Graphs and ...
Dariusz Dereniowski, Adam Nadolski
doaj +1 more source
Symbolic Quantitative Information Flow [PDF]
acmid: 2382791 issue_date: November 2012 keywords: algorithms, security, verification numpages: 5acmid: 2382791 issue_date: November 2012 keywords: algorithms, security, verification numpages: 5acmid: 2382791 issue_date: November 2012 keywords ...
Malacaria, P+3 more
core +1 more source
TRAF2 binds to TIFA via a novel motif and contributes to its autophagic degradation
TRAF family members couple receptor signalling complexes to downstream outputs, but how they interact with these complexes is not always clear. Here, we show that during ADP‐heptose signalling, TRAF2 binding to TIFA requires two short sequence motifs in the C‐terminal tail of TIFA, which are distinct from the TRAF6 binding motif.
Tom Snelling+4 more
wiley +1 more source
On Algorithmic Statistics for Space-Bounded Algorithms [PDF]
accepted to CSR 2017 ...
Alexey Milovanov+2 more
openaire +4 more sources
Background Literature derived knowledge assemblies have been used as an effective way of representing biological phenomenon and understanding disease etiology in systems biology.
Reagon Karki+3 more
doaj +1 more source
A machine learning method for the identification and characterization of novel COVID-19 drug targets
In addition to vaccines, the World Health Organization sees novel medications as an urgent matter to fight the ongoing COVID-19 pandemic. One possible strategy is to identify target proteins, for which a perturbation by an existing compound is likely to ...
Bruce Schultz+8 more
doaj +1 more source
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan+2 more
wiley +1 more source