Titlebook: Discovery Science; 20th International C Akihiro Yamamoto,Takuya Kida,Tetsuji Kuboyama Conference proceedings 2017 Springer International Pu

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Studies in Theoretical Psycholinguisticse methods developed. The performance of constructed MC systems was compared against seven state-of-the-art MC systems using 15 benchmark data sets taken from the UCI Machine Learning Repository. The experimental investigations clearly show the effectiveness of the combined multiclassifier system in

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978-3-319-67785-9Springer International Publishing AG 2017

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/e/image/281060.jpg

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Robert C. Berwick,Kenneth Wexleres and ensuring that data models remain representative through time. To this end, concept drift detection methods often utilize statistical techniques that take numerical data as input. However, many applications produce data streams containing categorical attributes, where numerical statistical met

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https://doi.org/10.1007/978-94-009-3387-3 approach towards malware detection. To address this problem, machine learning methods have become an attractive and almost imperative solution. In most of the previous work, the application of machine learning to this problem is batch learning. Due to its fixed setting during the learning phase, ba

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Studies in the Acquisition of Anaphorae prices reported by users of the app, we propose an approach that validates each price report in real time as it is entered by a consumer by comparing it to the current prediction of what the price is expected to be at the specified store at the present time. To do so, a forecast model is used to p

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