Results 241 to 250 of about 846,763 (295)

Selective attribute rules

Journal of Economics, 2022
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Dongwoo Lee, Hans Haller
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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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Correlates of Selected Physical Attributes

Research Quarterly. American Association for Health, Physical Education and Recreation, 1969
(1969). Correlates of Selected Physical Attributes. Research Quarterly. American Association for Health, Physical Education and Recreation: Vol. 40, No. 3, pp. 637-639.
L J, Dowell, C W, Landiss, E, Mamaliga
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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, Se June Hong
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Attributional Style, Task Selection and Achievement

Journal of Educational Psychology, 1979
The role of causal attributions in determining motivation to achieve has been the object of intensive study with generally interesting and valuable results (Dweck & Goetz, 1978; Weiner, in press). Thus, it seems quite clear that causal attributions play a critical role in determining the perception of success and failure as such (cf.
Leslie J. Fyans, Martin L. Maehr
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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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Greedy Attribute Selection

1994
Abstract Many real-world domains bless us with a wealth of attributes to use for learning. This blessing is often a curse: most inductive methods generalize worse given too many attributes than if given a good subset of those attributes. We examine this problem for two learning tasks taken from a calendar scheduling domain.
Rich Caruana, Dayne Freitag
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