Ensemble averages

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Removing the Influence of Shimmer in the Calculation of Harmonics-To-Noise Ratios Using Ensemble-Averages in Voice Signals

    pdf7p dauphong16 18-02-2012 27 2   Download

  • While the average performance of statistical parsers gradually improves, they still attach to many sentences annotations of rather low quality. The number of such sentences grows when the training and test data are taken from different domains, which is the case for major web applications such as information retrieval and question answering. In this paper we present a Sample Ensemble Parse Assessment (SEPA) algorithm for detecting parse quality.

    pdf8p hongvang_1 16-04-2013 21 2   Download

  • Introduction: Nanoelectrode ensembles (NEEs) are nanotech-based electroanalytical tools that find application in a variety of fields ranging from electroanalysis to sensors and electronics. The NEEs are fabricated by growing metal nanowires in the pores of a template microporous membrane. The density of the pores in the template determines the number of nanoelectrode elements per surface unit and the average distance between the nanoelectrode elements.

    pdf11p congdat261 06-12-2010 44 7   Download

  • The ergodic hypothesis, which assumes the independence of each cell of the ensemble from all the others, is a necessary prerequisite to attach single cell based explanations to the grand averages taken from population data. This was the prevailing view about the interpretation of cellular biology experi-ments that typically are performed on colonies of billions of cells.

    pdf9p galaxyss3 19-03-2013 10 2   Download

  • This paper presents six novel approaches to biographic fact extraction that model structural, transitive and latent properties of biographical data. The ensemble of these proposed models substantially outperforms standard pattern-based biographic fact extraction methods and performance is further improved by modeling inter-attribute correlations and distributions over functions of attributes, achieving an average extraction accuracy of 80% over seven types of biographic attributes.

    pdf9p bunthai_1 06-05-2013 24 2   Download


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