Results 251 to 260 of about 846,763 (295)

Lazy attribute selection: Choosing attributes at classification time

Intelligent Data Analysis, 2011
Attribute selection is a data preprocessing step which aims at identifying relevant attributes for the target machine learning task – namely classification in this paper. In this paper, we propose a new attribute selection strategy – based on a lazy learning approach – which postpones the identification of relevant attributes until an instance is ...
Pereira, Rafael B., Plastino, Alexandre, Zadrozny, Bianca, de C. Merschmann, Luiz Henrique, Freitas, Alex A.   +4 more
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Super Attribute Representative for Decision Attribute Selection

2011
Soft set theory proposed by Molodstov is a general mathematic tool for dealing with uncertainties. Recently, several algorithms had been proposed for decision making using soft set theory. However, these algorithms still concern on a Boolean-valued information system. In this paper, Support Attribute Representative (SAR), a soft set based technique for
Rabiei Mamat, Tutut Herawan, Mustafa Mat Deris   +2 more
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Cacao quality: Highlighting selected attributes

Food Reviews International, 2016
ABSTRACTWorld demand for cacao and the requirements for quality beans have increased every year. Research studies have developed standards for aspects of cacao quality that meet industrial criteria as well as international import and export legislation that is aimed at food security.
Guilherme A. H. A. Loureiro, Quintino R. Araujo, George A. Sodré, Raúl R. Valle, José O. Souza, Edson M. L. S. Ramos, Nicholas B. Comerford, Pauline F. Grierson   +7 more
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Stochastic Attribute Selection Committees

1998
Classifier committee learning methods generate multiple classifiers to form a committee by repeated application of a single base learning algorithm. The committee members vote to decide the final classification. Two such methods, Bagging and Boosting, have shown great success with decision tree learning.
Zijian Zheng, Geoffrey I. Webb
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Attributed intentions and informational selectivity

Journal of Experimental Social Psychology, 1974
Abstract Three experiments tested the hypothesis that ascribing a specific intention to an actor prior to witnessing his behavior leads an observer to preferentially recall action bearing on the intention. In each case, subjects were exposed to an action sequence which mixed elements appropriate to more than one intention.
Jerry Zadny, Harold B Gerard
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Attribute cut-offs in freight service selection

Transportation Research Part E: Logistics and Transportation Review, 2007
The paper applies the choice model incorporating attribute cut-offs proposed by [Swait, J.D., 2001. A non-compensatory choice model incorporating attribute cutoffs. Transportation Research: Part B 35 (10), 903–928] to evaluate shippers’ preferences for freight service attributes. A stated preference experiment on a sample of Italian manufacturing firms
DANIELIS, ROMEO, MARCUCCI
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Attributes: Selective Learning and Influence

Econometrica
An agent selectively samples attributes of a complex project so as to influence the decision of a principal. The players disagree about the weighting, or relevance, of attributes. The correlation across attributes is modeled through a Gaussian process, the covariance function of which captures pairwise attribute similarity.
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On Soft Partition Attribute Selection

2012
Rough set theory provides a methodology for data analysis based on the approximation of information systems. It is revolves around the notion of discernibility i.e. the ability to distinguish between objects based on their attributes value. It allows inferring data dependencies that are useful in the fields of feature selection and decision model ...
Rabiei Mamat, Tutut Herawan, Noraziah Ahmad, Mustafa Mat Deris   +3 more
openaire   +1 more source

Selective facilitation of memory attributes by strychnine

Pharmacology Biochemistry and Behavior, 1977
In two experiments, the effects of strychnine on the specific memory attributes of prior discrimination training were assessed in terms of subjects' performance under various discrimination reversal conditions. Mice were trained in a discrimination task with two redundant relevant cues.
M J, Brennan, W C, Gordon
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Loan Selection, Attribute Substitution and Information Effect

Review of Behavioral Finance, 2023
PurposeBorrowers are usually presented with a menu of similar-looking options when selecting a loan plan. However, it remains unclear whether they are able to choose the most cost-effective plan. This study aims to investigate whether people select loan plans optimally, whether their choices are influenced by the informational cues provided to them and
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