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Topic: Science
Number of pages / Number of words: 23 / 6435
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To analyze a data sequence, it is of practical importance to select an appropriate model for data. Numerical data sequences have been well studied and mathematical tools such as Fourier transform and spectral analysis are employed frequently in the analysis of numerical data sequences. For categorical data sequences, there are many situations that one would like to employ Markov models and Hidden Markov models (HMM) as a mathematical tool...


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To analyze a data sequence, it is of practical importance to select an appropriate model for data. Numerical data sequences have been well studied and mathematical tools such as Fourier transform and spectral analysis are employed frequently in the analysis of numerical data sequences. For categorical data sequences, there are many situations that one would like to employ Markov models and Hidden Markov models (HMM) as a mathematical tool...


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Data Envelopment Analysis Essential Data Analysis MLB regression analysis data Outsourcing & Data Analysis Research And Data Analysis Analysis of the Data Putting Data To Work: Intelligently Using Data Mining, Data Warehousing And Databases. Data Analysis Interactive Hidden Markov Models And Their Applicability Data Collection & Analysis Accuracy of Data, Data Ouytput Data Analysis And Experimental Uncertainty Data Modeling Tools River Flow Data Analysis Statistical Analysis of Leakage Data

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