Results 201 to 210 of about 129,844 (264)

What factors influence health professions trainees' preferences for employment in rural Appalachia? a qualitative study to inform the design of a discrete choice experiment. [PDF]

Med Educ Online
Gillette C, Ostermann J, Aguilar AA, O'Neal S, Everett C, Caviness D, Patel E, Steele L, Goel D, Tabassum QM.   +9 more
europepmc   +1 more source

Analyzing the collaborative development needs of grassroots centers for disease control and prevention using the Kano model: A case study of China's Chengdu-Chongqing Economic Circle. [PDF]

PLoS One
Tong Y, Qianzhen H, Bo T, Bin H, Min Z.
europepmc   +1 more source

Identifying Preferences for Prostate Cancer Screening Among American Indian Men (Project AIMEPCCo): Protocol for a Discrete Choice Experiment. [PDF]

JMIR Res Protoc
Gillette C, Bell R, Locklear T, Ostermann J, Provenza D, Reuland D, Debinski B, Foley K, Wooten R, Steele L, Tabassum QM.   +10 more
europepmc   +1 more source

A new extended belief rule base method based on neighborhood covering reduction for diabetes diagnosis. [PDF]

PLoS One
Feng S, He W, Jiang L, Chen M.
europepmc   +1 more source

Attribute selection strategies for attribute-oriented generalization.

, 1997
openaire   +1 more source

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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 J. R. Justino, Luiz S. Oliveira   +2 more
openaire   +1 more source

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 modelling

Future Generation Computer Systems, 1997
Abstract Modelling a target attribute by other attributes in the data is perhaps the most traditional data mining task. When there are many attributes in the data, one needs to know which of the attribute(s) are relevant for modelling the target, either as a group or the one feature that is most appropriate to select within the model construction ...
Igor Kononenko 0001, Se June Hong
openaire   +1 more source