Hierarchical Multi-Label Classification is a complex classification task where the classes involved in the problem are hierarchically structured and each example may simultaneously belong to more than one class in each hierarchical level. In this paper, we extend our previous works, where we investigated a new local-based classification method that incrementally trains a multilayer perceptron f...

A case is made for the use of hierarchical models in the analysis of generalization gradients. Hierarchical models overcome several restrictions that are imposed by repeated measures analysis-of-variance (rANOVA), the default statistical method in current generalization research. More specifically, hierarchical models allow to include continuous independent variables and overcomes problematic a...

conclusions it was noted that a relatively high prevalence of growth failure was observed in the study sample. for minimizing the impact of significant risk factors on growth failure, the early detection of growth failure and its risk indicators is of great importance. in addition, when the focus of the analysis is on the different nested sources of variability and the data has a hierarchical s...

Background: The transtheoretical model (TTM) is used as a framework to implement smoking cessation programs. This model has some subscales based on which the smoking temptation scale is proposed as stages movement factor. This study aimed to translate and validate the temptation subscales of the TTM questionnaire in the Iranian population. Methods...

Objective: Type 2 diabetes mellitus (T2DM) is a chronic condition that requires consistent medical care to help control glycemic indices. Diabetes self-management is found to be essential for optimal glycemic control. This study aimed to investigate the predictors of diabetes self-management in adult with T2DM. Materials and Methods: A cross-sectional study was conducted. A purposive sample of...

in recent years, underactuated nonlinear dynamic systems trajectory tracking, such as space robots and manipulators with structural flexibility, has become a major field of interest due to the complexity and high computational load of these systems. hierarchical sliding mode control has been investigated recently for these systems; however, the instability phenomena will possibly occur, especia...

In biological networks of molecular interactions in a cell, network motifs that are biologically relevant are also functionally coherent, or form functional modules. These functionally coherent modules combine in a hierarchical manner into larger, less cohesive subsystems, thus revealing one of the essential design principles of system-level cellular organization and function-hierarchical modul...

A new method for community identification is proposed which is founded on the analysis of successive neighborhoods, reached through hierarchical growth from a starting vertex, and on the definition of communities as a subgraph whose number of inner connections is larger than outer connections. In order to determine the precision and speed of the method, it is compared with one of the most popul...