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Predicting the conditional probability of discovering a new class - Mao - 2004Mao, C. X. 2004b. Predicting the conditional probability of discovering a new class. Journal of American Statistical Association 99:1108-1118.Mao, C. X. (2004). Predicting the conditional probability of discovering a...
In general, when the instance number and the number of attributes than is too small, to estimate the class conditional probability of each attribute variables, and the probability of the class variable estimation will become very imprecise and use these estimates to obtain the classification results...
2. 概率probability 主要分布在第8章和第19章。其主要描述的是一个事件发生的可能性大小。这里主要是理论计算,难点是集合的描述方式,需要同学们熟悉。 2.1 概率实验probability experiments 即有目的的操作,其结果outcome是随机的random。比如掷骰子观察点数(观察点数是目的,掷骰子是操作,目的不同后面的概念结果均可...
Main function that provides models for multiclass conditional probability estimation and label predictionChong ZhangSeung Jun ShinJunhui WangYichao WuHao Helen Zhangand Yufeng Liu
在LCM中,有两个非常重要的参数:潜类别概率和条件概率(Conditional Probability)。潜在类别概率类似与FA中的解释方差比例。在FA中,解释方差比例说明每个因子在解释数据时所占的分量。LCM的潜在类别概率类则用于将样本分成不同比例的类别。换句话说,潜在类别概率就是用于说明各个类别的人数比例。例如,根据1000个被试在4个...
ClassProbability— Class probabilities n-by-k array Cost— Cost of classifying a point into class j when its true class is i square matrix CutCategories— Categories used at branches n-by-2 cell array CutPoint— Values used as cut points n-element vector CutPredictor— Names of the variables...
We investigate the inverse problem of identifying a conditional probability measure in measure-dependent evolution equations arising in size-structured population modeling. We formulate the inverse problem as a least squares problem for the probability measure estimation. Using the Prohorov metric framework,...
step, given a function cond_fn thatcomputes the gradient of a conditional log probability with ...