Results 251 to 260 of about 5,061,029 (315)

Attribute selection strategies for attribute-oriented generalization.

, 1997
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Neural dissociation of attention and working memory through inhibitory control. [PDF]

Nat Commun
Liu Y, Fu Y, Tang E, Wu H, Han J, Xie M, Zhang Y, Peng B, Huang J, Liu H, Chen H, Qin P.   +11 more
europepmc   +1 more source

Patient and Caregiver Preferences for Long-Term Prophylactic Treatment of Bleeds in Haemophilia: A Discrete-Choice Experiment. [PDF]

Haemophilia
Lu H, Gould T, Colavecchia C, Coulter J, Wilcox LJ, Cappelleri JC, Christopher SA, Sohn A, Hauber B, Gutiérrez-Vargas ÁA, Dunn N, Chowdary P, Whitty JA.   +12 more
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Submodular Attribute Selection for Visual Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
In 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, , Zhuolin Jiang, Rama, Chellappa   +2 more
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Selective attribute rules

Journal of Economics, 2022
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, 2021
Attribute 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, Liangdong Qu, Gangqiang Zhang, Ningxin Xie   +3 more
semanticscholar   +1 more source

Three term attribute description of Atanassov's Intuitionistic Fuzzy Sets as a basis of attribute selection

IEEE International Conference on Fuzzy Systems, 2021
We propose here a new proposal for attribute selection in the models expressed by the intuitionistic fuzzy sets. We further develop our previous paper in which the approach was already extended and the first computational tests were performed, i.e., the ...
E. Szmidt, J. Kacprzyk, Paweł Bujnowski
semanticscholar   +1 more source

An integrated intrusion detection system using correlation‐based attribute selection and artificial neural network

Transactions on Emerging Telecommunications Technologies, 2020
Serious concerns regarding vulnerability and security have been raised as a result of the constant growth of computer networks. Intrusion detection systems (IDS) have been adopted by network administrators to provide essential network security ...
I. Thaseen, J. Banu, K. Lavanya, Muhammad Rukunuddin Ghalib, K. Abhishek   +4 more
semanticscholar   +1 more source

Adaptive Feature Selection With Augmented Attributes

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
In many dynamic environment applications, with the evolution of data collection ways, the data attributes are incremental and the samples are stored with accumulated feature spaces gradually. For instance, in the neuroimaging-based diagnosis of neuropsychiatric disorders, with emerging of diverse testing ways, we get more brain image features over time.
Chenping Hou, Ruidong Fan, Ling-Li Zeng, Dewen Hu   +3 more
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Selecting syntactic attributes for authorship attribution

The 2011 International Joint Conference on Neural Networks, 2011
In this work we present a methodology to select syntactic attributes for authorship attribution. The approach takes into account a multi-objective genetic algorithm and a Support Vector Machine classifier and it operates in a wrapper mode. Through a series of comprehensive experiments on a database composed of 3000 short articles written in Portuguese ...
Paulo Varela, Edson Justino, Luiz S. Oliveira   +2 more
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