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Color as physical/conceptual attribute: Color word translation by Chinese postgraduate students. [PDF]
Wang H, Lv G, Tian X.
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Attribute selection strategies for attribute-oriented generalization.
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Reinforcement learning framework for computerized adaptive testing using multi armed bandit approach. [PDF]
Tang B, Li S, Zhao C.
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Retraction notice to "Multi-attribute decision making method using advanced Pythagorean fuzzy weighted geometric operator and their applications for real estate company selection" [Heliyon 7 (2021) e07340]. [PDF]
Paul TK, Pal M, Jana C.
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Submodular Attribute Selection for Visual Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017In real-world visual recognition problems, low-level features cannot adequately characterize the semantic content in images, or the spatio-temporal structure in videos. In this work, we encode objects or actions based on attributes that describe them as high-level concepts. We consider two types of attributes.
, Jingjing Zheng +2 more
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A wrapper based binary bat algorithm with greedy crossover for attribute selection
Expert systems with applications, 2022Attribute selection plays a vital role in optimization and machine learning that involves huge datasets. Classification accuracy of any learning model depends on the dimensionality of data and attributes selected.
S. Akila, S. A. Christe
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Journal of Economics, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dongwoo Lee, Hans Haller
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dongwoo Lee, Hans Haller
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Attribute selection for heterogeneous data based on information entropy
International Journal of General Systems, 2021Attribute selection in an information system is one of the important applications of rough set theory. This paper studies attribute selection for heterogeneous data based on information entropy.
Zhaowen Li +3 more
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