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The paper described the structure comparison of Bayesian Belief Network models for individual behavior rate estimate based on data about the last episodes of that behavior. We compared two types of network structures: expert-based and data-based. For model learning and evaluation we used data from social network VKontakte about episodes of publishing posts. The sample size was 3803 users with 785066...
This paper offers formalized description of outcome prediction for sports competitions. It proposes a novel match prediction model and team model based study on existing technologies. The team model adopts improved Bayesian network. It adopt EM algorithm to learn player capability of each team to evaluate the ability value of player, according to integrate match situation. Then the scoring probability...
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