Results 51 to 60 of about 11,984,557 (361)
An Accelerated Chow and Liu Algorithm: Fitting Tree Distributions to High Dimensional Sparse Data [PDF]
Chow and Liu introduced an algorithm for fitting a multivariate distribution with a tree (i.e. a density model that assumes that there are only pairwise dependencies between variables) and that the graph of these dependencies is a spanning tree.
An Accelerated Chow+2 more
core +2 more sources
Fast algorithm for detecting community structure in networks. [PDF]
Many networks display community structure--groups of vertices within which connections are dense but between which they are sparser--and sensitive computer algorithms have in recent years been developed for detecting this structure.
M. Newman
semanticscholar +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
Data-Driven Clustering Analysis for Representative Electric Vehicle Charging Profile in South Korea
As the penetration of electric vehicles (EVs) increases, an understanding of EV operation characteristics becomes crucial in various aspects, e.g., grid stability and battery degradation.
Kangsan Kim+6 more
doaj +1 more source
Weed Identification Using Deep Learning and Image Processing in Vegetable Plantation
Weed identification in vegetable plantation is more challenging than crop weed identification due to their random plant spacing. So far, little work has been found on identifying weeds in vegetable plantation.
Xiaojun Jin, Jun Che, Yong Chen
doaj +1 more source
Inspired by the multicanonical approach to simulations of first-order phase transitions we propose for $q$-state Potts models a combination of cluster updates with reweighting of the bond configurations in the Fortuin-Kastelein-Swendsen-Wang ...
Berg+13 more
core +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
This work presents the characterization of MvoDUF2193, a Methanococcus voltae (Mvo) protein from the domain of unknown function (DUF) 2193 family. We demonstrate that MvoDUF2193 binds a single [4Fe–4S] cluster per subunit and that cluster occupancy regulates the transition from an apo tetramer to a [4Fe–4S] monomeric form. This structural transition is
Emily M. Dieter+8 more
wiley +1 more source
Postmortem Analysis of Decayed Online Social Communities: Cascade Pattern Analysis and Prediction
Recently, many online social networks, such as MySpace, Orkut, and Friendster, have faced inactivity decay of their members, which contributed to the collapse of these networks.
Mohammed Abufouda
doaj +1 more source