Titlebook: Recent Trends and Future Challenges in Learning from Data; Cristina Davino,Francesco Palumbo,Hans A. Kestler Conference proceedings 2024 T

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Building Hierarchies of Factors with Disjoint Factor Analysis,at there is a hierarchical relationship among these observable variables, a broader underlying concept can be represented as a tree-like structure, where each internal node represents a different level of abstraction for the concept being measured. In this chapter, we introduce a novel method for mo

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Uncertainty in Latent Trait Models and Dimensionality Reduction Methods for Complex Data: An Analys latent traits. This chapter proposes a hybrid model as an alternative to the conventional analysis that relies on the sum of individual item scores. Our approach involves synthesizing responses from multiple ordinal items into a single score using a dimension reduction approach. This synthesized sc

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,Asynchronous and Synchronous–Asynchronous Particle Swarms,ics and has its origin in the simulation of bird flocks. Particle swarm optimization is applicable in many ways and has an impact on a variety of research areas, including multiobjective optimization and machine learning. In this chapter, we introduce an asynchronous and synchronous–asynchronous fra

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Stability of Nonparametric Methods for Cognitive Diagnostic Assessment,en discrete, possess scientific interpretations, such as skill mastery in educational assessments, mental disorders in psychiatric diagnoses, or the presence of disease pathogens in biological samples. Nonparametric CDMs directly classify subjects into latent profiles by minimizing the distance betw