Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 5 of 5 for “"Latent Dimensions"”.
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Anomaly Detection via Latent Variables Learned by Variational Autoencoders
… of the art modeling techniques that incorporate latent variables, hidden variables that are not directly observed but instead inferred from observed variables. Approaches to anomaly detection via variational autoencoders either adopt reconstruction error as a sole anomaly detection metric, …
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Cognitive, Clinical, and Biomarker Correlates of Insight in Obsessive–Compulsive Disorder: preliminary results of a cross-sectional study
… and supervised classification revealed two main latent dimensions—one dominated by cognitive and insight measures, and another by sleep–arousal indices. Poorer insight, particularly reduced ability to explain differing views, was associated with lower social cognition performance, while no robust …
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Biologically Interpretable Representation Learning for Mechanistic Insights into Cancer Immunotherapy Resistance
… gastric cancers, BDVAE learns low-dimensional latent representations that are both predictive of response and biologically meaningful. The model reveals distinct latent dimensions aligned with immune regulation, tumorintrinsic signaling, metabolism, and neuroimmune interactions. SHAP-based …
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A methodology for the characterization of business-to-consumer E-commerce.
… proposes a quantitative framework that uses latent variable analysis to identify the underlying traits of Internet users' opinions. Predictive models are then built to select the factors that are most predictive of the propensity to buy on-line and classify Internet users according to that …
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Bayesian Estimation of Multi-unidimensional Graded Response IRT Models
… response items are designed to measure a unified latent trait. They are limited in practical instances where the test structure is not readily available or items are not necessarily measuring the same underlying trait. To overcome the problem, this dissertation proposes a multi-unidimensional …