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Cascallar, Eduardo; Musso, Mariel; Kyndt, Eva; Dochy, Filip – Frontline Learning Research, 2014
Two articles, Edelsbrunner and, Schneider (2013), and Nokelainen and Silander (2014) comment on Musso, Kyndt, Cascallar, and Dochy (2013). Several relevant issues are raised and some important clarifications are made in response to both commentaries. Predictive systems based on artificial neural networks continue to be the focus of current…
Descriptors: Artificial Intelligence, Research Methodology, Prediction, Classification
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Bordogna, Gloria; Pasi, Gabriella – Journal of the American Society for Information Science, 1993
Defines a fuzzy retrieval model as the basis for extending a weighted Boolean information retrieval system in which numeric query weights are replaced by linguistic descriptors that specify the degree of importance of the terms. A relevance classification process is described, and implementation and evaluation of the fuzzy retrieval model is…
Descriptors: Classification, Evaluation Methods, Information Retrieval, Linguistics
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Joachimsthaler, Erich A.; Stam, Antonie – Multivariate Behavioral Research, 1990
Mathematical programing formulas are introduced as new approaches to solve the classification problem in discriminant analysis. The research literature is reviewed, and an illustration using a real-world classification problem is provided. Issues relevant to potential uses of these formulations are discussed. (TJH)
Descriptors: Classification, Discriminant Analysis, Equations (Mathematics), Literature Reviews
Attinasi, John; And Others – 1981
This paper reviews issues and analyses in bilingual switching, or intercalation, and offers a topological model to represent the activity of code switching, sometimes under the same environmental conditions and with the same interlocutors. The topological notion of catastrophe is proposed as a means to model the various factors that influence code…
Descriptors: Bilingualism, Classification, Code Switching (Language), Language Research
Alessi, Stephen M. – Journal of Computer-Based Instruction, 1988
Discusses the relationship of fidelity and learning in computer simulation. Highlights include a review of previous research; a discussion of transfer of learning; a taxonomy for fidelity analysis with four different types of computer-based instructional simulations; and implications for instructional design and research. (41 references)…
Descriptors: Classification, Computer Simulation, Feedback, Instructional Design