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This paper works on the most intensively studied algorithm- k Nearest Neighbor algorithm. The purpose is to investigate the performance of different similarity measures in the kNN on Chinese texts. The two measures that we focus on are cosine value and Jensen-Shannon Divergence. We use both the corpus collected from the Sogou, whose data extracts from the website of Sohu.com, and datasets that we...
This paper studies the principle of text categorization in which Jensen-Shannon Divergence is used to calculate text similarity, comparing its accuracy of classification and time taking to the traditional Cosine Similarity algorithm. Experimental research shows that Jensen-Shannon Divergence algorithm will reach better results when test materials remain unchanged.
We have investigated the impact of inverse narrow width effect on the threshold voltage and drain current in the near/sub-threshold region at three technology nodes (90 nm, 65 nm and 40 nm) and proposed a new sub-threshold device sizing method which is inverse-narrow-width-effect-aware to reduce the gate area, power consumption and delay. We applied the proposed sizing method in designing a 40 nm...
This paper puts forward the possibility that librarians collaborate with teachers to promote the development of distance education to build a "Teacher - Librarian" collaborative distance education model, and discusses the "Teacher - Librarian" collaborative distance education strategy.
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