Please try to follow the instructions very detailed and try to use less than 30 % of plagiarism please and use your own words

Please try to follow the instructions very detailed and try to use less than 30 % of plagiarism please and use your own words


CAP 6635: Artificial Intelligence (2022 Spring) Course Report Instruction (For students participating final exam) (10 points) Due date [May 6 2022, Firm] This instruction only applies to students who will participate the final exam (do NOT wish to substitute the final exam using term project). If you wish to substitute the final exam using a longer version of the term project report (i.e., a research report), please follow “Research Report Instruction” (for students substituting final exam) in the Canvas. The grading of the term project report is based on the following criteria. 1. Overall [2 pts]: You should organize your report in IEEE format, with 1000 words minimum. Please note that table/figure do not count towards the word limitation. You can use IEEE word or Latex temperate from the following URL a. Template: http://www.ieee.org/conferences_events/conferences/publishing/templates.html. b. Plagiarism: You cannot copy any sentences, paragraphs, or figures, from any external sources (such as published papers or Internet). If Turnitin indicates that a submission is over 30% similar to any other submissions, the instructor will carry out a Plagiarism investigation. c. If you have to cite a figure/graph published somewhere else, please properly cite the source of the reference [0 credit if plagiarism check returns over 50% similarity to any published work]. [Grading of grammars and typos are included in the “Overall”] 2. Introduction [1 pt]: Your report must have an introduction section with about 200 words. The introduction should clearly state (1) what is the research problem to be studied in the report (i.e., text classification); (2) the motivation of the problem studied in your report; (3) how are the problem solved by existing methods, if any; and (4) a brief description about the method you will propose in the report. [200 words] 3. Main body [3 pts]: In the body of your project, you will need to provide technical details of your design [500 words] a. You need to provide a brief description about Bayesian Network. Then discussion how naïve bayes classification is related to the Bayesian network. b. You will need to provide a brief description about your learning/classification methods, the benchmark datasets, and performance measures used in the study. c. You need to show at least one figure (or diagram) of your framework. 4. Experiments [2 pts]: In the experiments, you need to introduce (1) main purpose of the experimental studies; (2) what are the tools used to design the algorithms; (3) what are the baseline methods for http://www.ieee.org/conferences_events/conferences/publishing/templates.html comparisons; and (4) what are the performance measures and data used for empirical studies. You should also use figures and tables to report the results collected from your studies, and summarize the experimental results [200 words]. a. Experimental settings: including programming tools/languages, the setting of the parameters used for different methods. [1 pt] b. The results: The detailed results reported in figures/tables with necessary analysis and descriptions. Your report must include at least one figure and one table to show the results. [1 pts] 5. Conclusions [1 pt]: In the conclusions, you should briefly summarize the research problem studied in your report. Explain what you have done and summarize the major findings. Draw any informative conclusions, which can be useful to guide the followers [100 words, 1 point] 6. References [1 pt]: Please cite at least 5 relevant references in your report. At least 3 of them must be from 2015 or after. [1 point].