Browsing by Subject "Bayesian statistical decision theory."

Now showing items 1-4 of 4

    • Design and Development of Naive Bayes Classifier 

      Garg, Bandana (North Dakota State University, 2013)
      The naïve Bayes classifier is a simple form of Bayesian classifiers which assumes all the features are independent of each other. Despite this assumption, the naïve Bayes classifier’s accuracy is comparable to other ...

    • Naïve Bayes Classifier: A MapReduce Approach 

      Zheng, Songtao (North Dakota State University, 2014)
      Machine learning algorithms have the advantage of making use of the powerful Hadoop distributed computing platform and the MapReduce programming model to process data in parallel. Many machine learning algorithms have been ...

    • Prediction of Rental Demand for a Bike-Share Program 

      Nekkanti, Om prakash (North Dakota State University, 2017)
      In recent years, bike-sharing programs have become more prevalent. Bicycle usage can be affected by different factors, such as nearby events, road closures, and on-campus traffic policies. The research presented here ...

    • Robust D-Optimal Design for Multiple Nominal Parameter Values under the 5PL-1P Model 

      Liang, Cuiping (North Dakota State University, 2018)
      A robust D-optimal design that works well for multiple nominal parameter values is presented in this paper. In general, D-optimal design works very well for estimating the model parameters, but it is very sensitive to ...