Results 31 to 40 of about 4,817,340 (289)
Frontiers in Psychology, 2020 We propose a new method that balances attribute coverage for short-length cognitive diagnostic computerized adaptive testing (CD-CAT). The new method uses the attribute discrimination index (ADI-based method) instead of the number of items that measure ...
Yutong Wang +3 more
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Attribute selection strategies for attribute-oriented generalization [PDF]
, 1996 We describe and compare attribute-selection strategies for attribute-oriented generalization (AOG). AOG summarizes the information in a relational database by repeatedly replacing specific attribute values with more general concepts. Several strategies for selecting the next attribute to generalize have been suggested in the literature, but their ...
Brock Barber, Howard J. Hamilton
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Pendekatan Algoritma Klasifikasi Machine Learning untuk Deteksi Penyakit Demensia
Computer Science, 2023 Early detection of dementia through the use of machine learning classification algorithms is important for providing appropriate interventions to patients.
Muhammad Iqbal +4 more
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Ankara Üniversitesi Eğitim Bilimleri Fakültesi DergisiBu çalışmanın amacı öğrencilerin okuma beceri düzeylerine göre sınıflandırması üzerinde etkisi olan değişkenlerin belirlenmesidir. Bu amaçla yüksek ve düşük okuma becerisine sahip olarak belirlenen sınıflandırma gruplarını etkiyen değişkenler tespit ...
Sanem Şehribanoğlu
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MaSS: Multi-attribute Selective Suppression
, 2022 The recent rapid advances in machine learning technologies largely depend on the vast richness of data available today, in terms of both the quantity and the rich content contained within. For example, biometric data such as images and voices could reveal people's attributes like age, gender, sentiment, and origin, whereas location/motion data could be
Chen, Chun-Fu +7 more
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Attribute Selection in Marketing: A Rough Set Approach
IIMB Management Review, 2010 Using an illustrative case study on the Indian cosmetic industry, this paper illustrates the advantages of the rough set approach over conventional techniques for the extraction of decision rules from data sets, which can be useful in various marketing ...
Sabita Mahapatra +2 more
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Inf., 2019 Image classification is one of the most important tasks in the digital era. In terms of cultural heritage, it is important to develop classification methods that obtain good accuracy, but also are less computationally intensive, as image classification ...
Radmila Janković
semanticscholar +1 more source
An Optimal Choice of Cognitive Diagnostic Model for Second Language Listening Comprehension Test
Frontiers in Psychology, 2021 Cognitive diagnostic models (CDMs) show great promise in language assessment for providing rich diagnostic information. The lack of a full understanding of second language (L2) listening subskills made model selection difficult.
Yanyun Dong +3 more
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Overspecification of colour, pattern, and size: Salience, absoluteness, and consistency
Frontiers in Psychology, 2015 The rates of overspecification of colour, pattern, and size are compared, to investigate how salience and absoluteness contribute to the production of overspecification.
Sammie eTarenskeen +3 more
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Axioms, 2023 During the development process of complex products, selecting the best desirable alternative supplier is a challenge since an improperly selected alternative may cause losing capacity and increasing the cycle time and cost of development for a company ...
Baodong Li +6 more
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