application of the chi square test is used.Experiments have shown that the determination of word importance may increase the speed of the classification algorithm and save their resource use significantly.By doing so,a success rate of 92.20% could be reached using documents of the ACM digital ...
In the previous paper we have shown that the classification problem of the homogeneous real 16-vertex models on a square lattice as proposed by Gaaff and Hijmans is closely connected with the similar problem corresponding to the boson Bogoliubov transformation in quantum mechanics. This insight leads...
square numeric matrix ExpandedPredictorNames—Expanded predictor names cell array of character vectors ModelParameters—Parameter values object NumObservations—Number of observations positive numeric scalar PredictorNames—Predictor names cell array of character vectors ...
machine learning (ML) methods provide epidemiologists with a robust way to analyze and interpret relevant patterns1,2. The increased availability of electronic health data and the use of machine learning models presents major opportunities in the healthcare space...
Discrete Representation of Spatial Objects in Computer Vision One of the most natural representations for modelling spatial objects in computers is discrete representations in the form of a 2D square raster and a 3D cubic grid, since these are naturally obtained by segmenting sensor images. However....
The Lorentzian length, which is one of the most significant functions in Lorentzian geometry, is a complex-valued function. Its square gives a real-valued non-degenerate quadratic function. In this paper, we define naturally extended mappings of Lorentzian distance-squared functions, wherein each co...
categorical array | cell array of character vectors | character array | logical vector | numeric vector CombineWeights— How the ensemble combines weak learner weights 'WeightedAverage' | 'WeightedSum' Cost— Cost of classifying a point into class j when its true class is i square matrix Expande...
Loss of Classification 我们把x,丢到一个Network裡面產生y以后,我们会通过soft-max得到y',再去计算y'跟ŷ之间的距离,这个写作е 计算y'跟ŷ之间的距离不只一种做法,举例来说,如果我喜欢的话,我要让这个距离是Mean Square Error 就是把ŷ裡面每一个element拿出来,然后计算它们的平方和,当作我们的error,这...
不管离目标远还是近,square error微分都小。所以微分小的时候,不知道离目标远还是近。 用cross entropy可以让training顺利很多。 判别方法 v.s. 生成方法 这节课的判别方法,与上节课的生成方法,模型是一样的,都是 判别方法,通过梯度下降,直接找到w,b。
vector of positive integers|[] ClassNames—Unique class labels categorical array|character array|logical vector|numeric vector|cell array of character vectors Cost—Misclassification costs square numeric matrix ModelParameters—Parameters used for training model ...