Updating Elicited Expert Judgements Using a Bayesian Framework

B Profir, MH Eres, J Scanlan, R Bates - 17th AIAA Aviation Technology …, 2017 - arc.aiaa.org
… In the initial stage of the research, three main needs had been identified as follows: strategic
… distribution 𝑞𝑞, and for each of them a weight is calculated. The value of weight 𝑖𝑖 is given …

Feature selection using binary particle swarm optimization with time varying inertia weight strategies

M Mafarja, R Jarrar, S Ahmad… - Proceedings of the 2nd …, 2018 - dl.acm.org
… (PSO) with time varying inertia weight strategies is proposed. … is the updating strategy of the
inertia weight that controls the … varying inertia weight updating strategies on the performance …

Self-adaptive attribute weighting for Naive Bayes classification

J Wu, S Pan, X Zhu, Z Cai, P Zhang, C Zhang - Expert Systems with …, 2015 - Elsevier
… , where an automated search strategy is used to find optimal attribute weight values for each
… The rest four operations (eg, selection, clone, mutation, and update) are all based on weight

Methodological systematic review identifies major limitations in prioritization processes for updating

LM García, H Pardo-Hernandez, C Superchi… - Journal of clinical …, 2017 - Elsevier
weight of the new studies to the total weight of the old studies in an updated meta-analysis
(weight … that the studies that propose an overall updating strategies of SRs did not provide a …

A new particle swarm optimization algorithm with adaptive inertia weight based on Bayesian techniques

L Zhang, Y Tang, C Hua, X Guan - Applied Soft Computing, 2015 - Elsevier
weight means less variation in velocity and slower updating for particle in local search areas.
In this paper, the inertia weight strategies … value of the inertia weight is constant during the …

Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms

B Xue, M Zhang, WN Browne - Applied soft computing, 2014 - Elsevier
… algorithm, which assigns a weight to each feature to denote … initialisation strategy with
one of the three new updating … of new initialisation strategies and updating mechanisms, we …

A novel online ensemble approach to handle concept drifting data streams: diversified dynamic weighted majority

P Sidhu, MPS Bhatia - International Journal of Machine Learning and …, 2018 - Springer
… An expert in either of the ensembles is updated or removed … For high severity and high speed
drifts, it is a good strategy to … However, a parameter p controls the weight update, creation …

Updating strategy for a high-tech world: constant change from the bottom up and the outside in

WE Halal, J Garretson, O Davies - foresight, 2022 - emerald.com
… : update the 1983 survey to determine the strategic practices … leaders could use these
findings to plan for strategic change. … It is already cracking under the weight of an increasingly …

[PDF][PDF] Learning Permutations with Exponential Weights.

DP Helmbold, MK Warmuth - Journal of Machine Learning Research, 2009 - jmlr.org
… j , then the weight of each permutation expert Π is proportional … We also show that
PermELearn’s weight update belongs to … ; in the expert setting there is a simple adversary strategy

A novel multi-swarm particle swarm optimization with dynamic learning strategy

W Ye, W Feng, S Fan - Applied Soft Computing, 2017 - Elsevier
updating formula, and propose an improved multi-swarm particle swarm optimization with
dynamic learning strategy (PSO-… Shi and Eberhart introduced an inertia weight to reduce the …