biomedical datasets usually include a large number of features relative to the number of samples. however, some data dimensions may be less relevant or even irrelevant to the output class. selection of an optimal subset of features is critical, not only to reduce the processing cost but also to improve the classification results. to this end, this paper presents a hybrid method of filter and wr...

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stock selection criteria play a key role in contrarian portfolio construction. the usual approach is applying cumulative return as stock selection criteria however applying this criterion leads to ranking stocks without considering investment risk. in this study, we analyze contrarian strategies that are based on reward–risk stock selection criteria in contrast to ordinary contrarian strategies...

Objective(s): This study addresses feature selection for breast cancer diagnosis. The present process uses a wrapper approach using GA-based on feature selection and PS-classifier. The results of experiment show that the proposed model is comparable to the other models on Wisconsin breast cancer datasets. Materials and Methods: To evaluate effectiveness of proposed feature selection method, we ...

Designing coordinated robot behaviors in uncertain, dynamic, real-time, adversarial environments, such as in robot soccer, is very challenging. In this work we present a case-based reasoning approach for cooperative action selection, which relies on the storage, retrieval, and adaptation of example cases. We focus on cases of coordinated attacking passes between robots in the presence of the de...

1.5 Range of Application, Dosage, Mode of Administration 1.5.1 Indications 1.5.1.1 General Principles 1.5.1.2 Acute Blood Loss 1.5.1.3 Chronic Anemias 1.5.2 Indications for Special RBC Concentrates 1.5.2.1 Irradiated Leukocyte-Depleted RBC Concentrates 1.5.2.2 Washed RBC Concentrates 1.5.2.3 Cryopreserved RBC Concentrates 1.5.2.4 CMV and Parvovirus B19 1.5.3 Selection and Dosage of RBC Concentr...

We explore the coevolution of punishment and prosociality in a population of learning agents. Across three models, we find that the capacity to learn from punishment can allow both punishment and prosocial behavior to evolve by natural selection. In order to model the effects of innate behavioral dispositions (such as prosociality) combined with the effects of learning (such as a response to co...

Accurate and timely mapping of paddy rice is vital for food security and environmental sustainability. This study evaluates the utility of temporal features extracted from coarse resolution data for object-based paddy rice classification of fine resolution data. The coarse resolution vegetation index data is first fused with the fine resolution data to generate the time series fine resolution d...