Titlebook: Computational Science – ICCS 2020; 20th International C Valeria V. Krzhizhanovskaya,Gábor Závodszky,João T Conference proceedings 2020 Spri

车床

Somrat Kerdsuwan,Krongkaew Laohalidanondification task with the skewed class distribution. Two methods, using the similarity (distance) to the reference instances and class imbalance ratio to select the most confident classifier for a given observation, have been proposed. Both approaches come in two modes, one based on the .-Nearest Orac

捕鲸鱼叉

tangle

Detoxification

K. G. Burra,P. Chandna,Ashwani K. Guptaads to favoring majority classes. The action most often used to deal with this problem is oversampling of the minority class by the . algorithm. Following work proposes to employ a modification of an individual binary classifier support-domain decision boundary, similar to the fusion of classifier e

Ambulatory

EXUDE

晚间

Hugo Lotriet,Hossana Twinomurinzig between class regions in the feature space. Furthermore, frequently the goal of the final system is to obtain very high precision for each of the concepts. All of these factors contribute to the complexity of the task and increase the difficulty of building a quality data model by learning algorit

伪造

奴才

Sustainable Development in Africaof failure-free operation seems to be not a completely solved issue. In the article, a system is present allowing to detect different types of anomalies and failures/damage in critical infrastructure of railway transport realized by means of Power Line Communication. There is also described the stru

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