Results 61 to 70 of about 66,699 (304)
Improving the Interpretability of Classification Rules Discovered by an Ant Colony Algorithm: Extended Results [PDF]
, 2016 The vast majority of Ant Colony Optimization (ACO) algorithms for inducing classification rules use an ACO-based procedure to create a rule in an one-at-a-time fashion. An improved search strategy has been proposed in the cAnt-MinerPB algorithm, where an
Otero, Fernando E.B., Freitas, Alex A.
core +1 more source
FEBS Letters, EarlyView.In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
wiley +1 more source
Identification of Evolving Rule-based Models. [PDF]
, 2002 An approach to identification of evolving fuzzy rule-based (eR) models is proposed. eR models implement a method for the noniterative update of both the rule-base structure and parameters by incremental unsupervised learning.
Angelov, Plamen, Buswell, Richard
core
A new rule pruning text categorisation method [PDF]
, 2010 Associative classification integrates association rule and classification in data mining to build classifiers that are highly accurate than that of traditional classification approaches such as greedy and decision tree.
Hadi, Wa'el +9 more
core +1 more source
Tau acetylation at K331 has limited impact on tau pathology in vivo
FEBS Letters, EarlyView.We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto +3 more
wiley +1 more source
New unsupervised hybrid classifier based on the fuzzy integral: applied to natural textured images
IET Computer Vision, 2013 This study presents a new unsupervised hybrid classifier for natural texture identification in aerial images. The proposed strategy combines through the fuzzy integral (FI) six well‐tested base supervised classifiers.
María Guijarro +4 more
doaj +1 more source
Neighborhood Granule Classifiers
Applied Sciences, 2018 Classifiers are divided into linear and nonlinear classifiers. The linear classifiers are built on a basis of some hyper planes. The nonlinear classifiers are mainly neural networks. In this paper, we propose a novel neighborhood granule classifier based
Hongbo Jiang, Yumin Chen
doaj +1 more source
Analysis of Machine Learning Techniques for Sentinel-2A Satellite Images
Journal of Electrical and Computer Engineering, 2022 This article presents the comparative analysis of classification techniques to assign land use and land cover classes from different strategies (pixel-based, object-based, rule-based, distance-based, and neural-based) with a Sentinel-2A satellite image ...
Eman A. Alshari, Bharti W. Gawali
doaj +1 more source
FEBS Letters, EarlyView.Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil +4 more
wiley +1 more source
Recognition of medication information from discharge summaries using ensembles of classifiers
BMC Medical Informatics and Decision Making, 2012 Background Extraction of clinical information such as medications or problems from clinical text is an important task of clinical natural language processing (NLP).
Doan Son +4 more
doaj +1 more source