Extracting Latent Structures in Numerical Classification: An Investigation Using Two Factor Models

doi 10.1109/iconip.2002.1198992

Full Text

Abstract

Available in

Date

Unknown

Authors

Publisher

Nanyang Technol. Univ

Related search

Latent Class Models for Classification

Computational Statistics and Data Analysis
StatisticsProbabilityApplied MathematicsComputational TheoryComputational MathematicsMathematics
2003English

Gene Structures, Classification, and Expression Models of theDREBTranscription Factor Subfamily inPopulus Trichocarpa

The Scientific World Journal
BiochemistryMedicineGeneticsMolecular BiologyEnvironmental Science
2013English

Two-Tier Latent Class IRT Models in R

R Journal
UncertaintyNumerical AnalysisStatisticsProbability
2016English

Numerical Simulation of Structures Using Generalized Models for Data Uncertainty

2009English

Latent Factor Models for Statistical Relational Learning

English

Extracting Planar Kinematic Models Using Interactive Perception

Lecture Notes in Electrical Engineering
IndustrialManufacturing Engineering
2008Occitan

A Robust Approach to the Identifcation of Latent Factor Structures

Turkiye Klinikleri Journal of Biostatistics
2018English

An Integrated Approach to Extracting Ontological Structures From Folksonomies

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2009English

Multi-Criteria Analysis Using Latent Class Cluster Ranking: An Investigation Into Corporate Resiliency

International Journal of Production Economics
ManagementBusinessEconomicsManufacturing EngineeringManagement ScienceIndustrialAccountingEconometricsOperations Research
2014English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy