Titlebook: Microcontrollers in Practice; Marian Mitescu,Ioan Susnea Book 2005 Springer-Verlag Berlin Heidelberg 2005 AVR.EEPROM.EPROM.HC11.MCS51.Micr

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-Of-Words (BOW) model, where individual terms are used as features. However, the BOW model is unable to sufficiently model the variation inherent in natural language text. Term-relatedness metrics are commonly used to overcome this limitation by capturing latent semantic concepts or topics in docume

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國(guó)家明智

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ing approaches. The research area of Data Stream Mining (DSM) is developing data mining algorithms that allow us to analyse these continuous streams of data in real-time. The creation and real-time adaption of classification models from data streams is one of the most challenging DSM tasks. Current

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