Results 71 to 80 of about 82,468 (189)
A bagging SVM to learn from positive and unlabeled examples
, 2010 We consider the problem of learning a binary classifier from a training set of positive and unlabeled examples, both in the inductive and in the transductive setting.
Mordelet, Fantine, Vert, Jean-Philippe
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Application of bagging, boosting and stacking to intrusion detection
, 2012 This paper investigates the possibility of using ensemble algorithms to improve the performance of network intrusion detection systems. We use an ensemble of three different methods, bagging, boosting and stacking, in order to improve the accuracy and ...
Prugel-Bennett, Adam +3 more
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BED-RL: Bagging-Based Encoder–Decoder Reinforcement Learning for Dynamic Portfolio Management
IEEE AccessPortfolio management in modern financial markets faces numerous challenges, primarily due to the complexity of market dynamics, high volatility, and noisy data environments.
Zhen Zhang
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Bagging has been found to be successful in increasing the predictive performance of unstable classifiers. Bagging draws bootstrap samples from the training sample, applies the classifier to each bootstrap sample, and then averages overal lobtained ...
Croux, Christophe +2 more
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Journal of Natural FibersThis study evaluates the effect of mixed washing treatment on the bagging behavior of denim fabrics. Six types of denim fabrics were washed under different conditions. Then, the bagging test was applied.
Abir Ben Fraj, Boubaker Jaouachi
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Using Data Mining for Survival Prediction in Patients with Colon Cancer
مجله اپیدمیولوژی ایران, 2018 Background and Objectives: Colon cancer is the third most common cancer in the world and the fourth most common cancer in Iran. It is very important to predict the cancer outcome and its basic clinical data.
S Setareh +4 more
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Material evaluation for bagging of cantaloupe melons
Ciência Rural: The objective of this study was to evaluate different materials for field bagging with respect to the physicochemical changes caused in cantaloupe melon fruits. The study was conducted in a protected environment in the city of Goiânia, Goiás in Brazil.
Eduardo Pradi Vendruscolo +5 more
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HorticulturaeThere has been growing interest in examining the potential of non-bagging patterns due to the decline of fruit inner quality and the increase in labor force cost and ecological pollution.
Fang Wang +7 more
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Bagging Binary Predictors for Time Series [PDF]
Bootstrap aggregating or Bagging, introduced by Breiman (1996a), has been proved to be effective to improve on unstable forecast. Theoretical and empirical works using classification, regression trees, variable selection in linear and non-linear ...
Tae-Hwy Lee, Yang Yang
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