Results 101 to 110 of about 548,673 (345)
A comparison of two-stage segmentation methods for choice-based conjoint data: a simulation study. [PDF]
Due to the increasing interest in market segmentation in modern marketing research, several methods for dealing with consumer heterogeneity and for revealing market segments have been described in the literature.
Crabbe, Marjolein +2 more
core
Unsupervised feature learning with discriminative encoder
, 2017 In recent years, deep discriminative models have achieved extraordinary performance on supervised learning tasks, significantly outperforming their generative counterparts.
Dukkipati, Ambedkar, Pandey, Gaurav
core +1 more source
Arthritis Care &Research, Accepted Article.Objectives While the definition of a gout flare is well established, the state of gout flare resolution has not yet been defined. This study aimed to explore patients’ experiences and perceptions of gout flare resolution. Methods Semi‐structured interviews were conducted with 24 people with gout, guided by open‐ended questions exploring their ...
Sarah Stewart +5 more
wiley +1 more source
EconometricsHeterogeneity in preferences can be addressed through various discrete choice modeling approaches. The random-parameter latent class (RLC) approach offers a desirable alternative for analysts due to its advantageous properties of separating classes with ...
Péter Czine +6 more
doaj +1 more source
The Lazy Bootstrap. A Fast Resampling Method for Evaluating Latent Class Model Fit [PDF]
, 2018 The latent class model is a powerful unsupervised clustering algorithm for categorical data. Many statistics exist to test the fit of the latent class model. However, traditional methods to evaluate those fit statistics are not always useful.
Mulder, Joris +2 more
core +1 more source
Deterministic Detection of Single Ion Implantation
Advanced Engineering Materials, EarlyView.Focused ion beam implantation with high detection efficiencies will enable the rapid and scalable fabrication of advanced spin‐based technologies such as qubits. This work presents the detection efficiencies of a wide range of ions implanted into solid‐state hosts, with efficiencies of >90% recorded for ion species and substrate combinations of ...
Mason Adshead +6 more
wiley +1 more source
Modelling Charitable Donations: A Latent Class Panel Approach [PDF]
: We apply a latent class tobit framework to the analysis of charitable donations at the household level where the latent class aspect of the model splits households into two groups, which we subsequently interpret as "low" donators and "high" donators ...
Karl Taylor, Mark N Harris, sarah Brown
core +1 more source
lcra: Bayesian Joint Latent Class and Regression Models [PDF]
, 2020 Michael G. Elliot +2 more
openalex +1 more source
Multimodal Data‐Driven Microstructure Characterization
Advanced Engineering Materials, EarlyView.A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
Valuing Consumer Preferences with the CUB Model: A CaseStudy of Fair Trade Coffee
International Journal on Food System Dynamics, 2010 D'Elia and Piccolo (2005) have recently proposed a mixture distribution, named CUB, for ordinal data. The use of such a mixture distribution for modelling ratings is justified by the following consideration: the judgment that a subject expresses is the ...
Gianni Cicia +3 more
doaj