Results 81 to 90 of about 592,124 (303)
Intelligent Tutoring Systems for Adult Learning in STEM Disciplines
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley +1 more source
Learning Ontologies to Improve Text Clustering and Classification [PDF]
, 2006 Bloehdorn S, Cimiano P, Hotho A. Learning Ontologies to Improve Text Clustering and Classification. In: Spiliopoulou M, Kruse R, Nürnberger A, Borgelt C, Gaul W, eds.
Spiliopoulou, Myra +7 more
core +1 more source
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT Mental well‐being is central to adult learner success, yet many adult education institutions lack capacity to provide timely and accessible support. This article examines how artificial intelligence (AI) can strengthen mental health–adjacent supports in adult and continuing higher education, with attention to professional practice and ...
Adam L. McClain, Thomas Wade
wiley +1 more source
A New Ant Colony Algorithm for Multi-Label Classification with Applications in Bioinformatics [PDF]
, 2006 The conventional classification task of data mining can be called single-label classification, since there is a single class attribute to be predicted.
Chan, Allen +3 more
core +1 more source
Text Classification with Novelty Detection
CoRR, 2020 This paper studies the problem of detecting novel or unexpected instances in text classification. In traditional text classification, the classes appeared in testing must have been seen in training. However, in many applications, this is not the case because in testing, we may see unexpected instances that are not from any of the training classes.
Qi Qin, Wenpeng Hu, Bing Liu 0001
openaire +2 more sources
Five‐Year Disease Progression in Synuclein Seeding Positive Sporadic Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To provide a comprehensive description of disease progression in synuclein seeding assay (SAA) positive sporadic Parkinson Disease participants, using Neuronal Synuclein Disease integrated biological and functional impairment staging framework.
Paulina Gonzalez‐Latapi +19 more
wiley +1 more source
High performance latent dirichlet allocation for text mining [PDF]
, 2013 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Latent Dirichlet Allocation (LDA), a total probability generative model, is a three-tier Bayesian model. LDA computes the latent topic structure of the data
Liu, Zelong
core
Injury narrative text classification : a preliminary study [PDF]
, 2014 Description of a patient's injuries is recorded in narrative text form by hospital emergency departments. For statistical reporting, this text data needs to be mapped to pre-defined codes.
Kirsten Vallmuur +5 more
core +1 more source
Text Classification Based on Conditional Reflection
IEEE Access, 2019 Text classification is an essential task in many natural language processing (NLP) applications; we know each sentence may have only a few words that play an important role in text classification, while other words have no significant effect on the ...
Yanliang Jin +5 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Accessing brain magnetic resonance imaging (MRI) can be challenging, especially for underserved patients, which may lead to disparities in neurological diagnosis. Method This mixed‐methods study enrolled adults with one of four neurological disorders: mild cognitive impairment or dementia of the Alzheimer type, multiple sclerosis ...
Maya L. Mastick +19 more
wiley +1 more source