Results 181 to 190 of about 7,255,480 (346)
Advanced Science, EarlyView.We present a chromosome‐level genome assembly of Siraitia grosvenorii and, through comparative genomics, uncover a conserved UGT73 tandem array driving triterpenoid saponin diversification in Cucurbitaceae. Crystalized SgUGT73AM30 further reveals the regioselectivity mechanism underlying its catalytic activity.
Guangyi Wang +13 more
wiley +1 more source
Learning Bayesian Networks with the bnlearn R Package
bnlearn is an R package (R Development Core Team 2010) which includes several algorithms for learning the structure of Bayesian networks with either discrete or continuous variables.
Marco Scutari
core +1 more source
Optimising ITS behaviour with Bayesian networks and decision theory
, 2001 We propose and demonstrate a methodology for building tractable normative intelligent tutoring systems (ITSs). A normative ITS uses a Bayesian network for long-term student modelling and decision theory to select the next tutorial action.
Mitrovic, Antonija, Mayo, Michael
core
A Practical Bayesian Framework for Backpropagation Networks
Neural Computation, 1992 D. MacKay
semanticscholar +1 more source
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Advanced Science, EarlyView.Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source
Applying Bayesian networks to model uncertainty in project scheduling
, 2009 PhDRisk Management has become an important part of Project Management. In spite of numerous advances in the field of Project Risk Management (PRM), handling uncertainty in complex projects still remains a challenge.
Khodakarami, Vahid
core
Advanced Science, EarlyView.CHCHD10 loss in Alzheimer's disease is associated with mitochondrial dysfunction, epigenomic disruption, and tau pathology. Restoration of CHCHD10 shifts DNA methylation toward a non‐disease state and reduces tau and amyloid pathology, with KATNAL2 acting as a downstream effector.
Teresa M. Thomas +13 more
wiley +1 more source
In evaluating the potential effects of the reforms of the Common Agricultural Policy, a particularly challenging issue is the representation of the complexity of rural systems either in a static or dynamic framework.
Viaggi, Davide +2 more
core +1 more source
Improved risk analysis for large projects: Bayesian networks approach
, 2010 PhDGenerally risk is seen as an abstract concept which is difficult to measure. In this thesis, we consider quantification in the broader sense by measuring risk in the context of large projects.
Fineman, Milijana
core
Hybridization of Bayesian networks and belief functions to assess risk. Application to aircraft deconstruction [PDF]
, 2011 This paper aims to present a study on knowledge management for the disassembly of end-of-life aircraft. We propose a model using Bayesian networks to assess risk and present three approaches to integrate the belief functions standing for the ...
Pérès, François +3 more
core