英语翻译等我上传了照片再翻译,1
来源:学生作业帮 编辑:神马作文网作业帮 分类:英语作业 时间:2024/09/20 11:54:52
英语翻译
等我上传了照片再翻译,
1
等我上传了照片再翻译,
1
The work in this paper covers the following three aspects:
(1) In view of information of users’ social relationships on the social network,it firstly made the modeling of the social network,then it proposed the algorithm for node similarity on social network in the method of learning with machine.In this algorithm,it uses the information of the nodes themselves,the computed results with the traditional node similarity algorithm and some auxiliary data as the characteristics of the training in learning with machine,and takes the edges (if any) between modes as the labeling objects,then uses the Logistic regression model as the training model to compute the node similarity.After computing the node similarity,it is proposed in this paper a algorithm with the node similarity data and the users’ scoring data to predict the users’ scoring,which is referred to as the users’ credit scoring in this paper.
(2) In view of problems as excessive time and space occupations faced in the mass users recommending system in the collaborative filtering recommendation algorithm which leads to failure of making recommendation for new users,it is proposed in this paper an improved collaborative filtering recommendation algorithm which firstly builds a “users’ characteristics – Item” scoring matrix,then solves the matrix with the latent semantic model,and finally,on the basis of the solved matrix and users’ characteristic data,predicts users’ scorings on items by means of linear weightings,which is generally referred to as the users’ preferential scoring in this paper.
(3) After computation of the users’ credit scoring and preferential scoring,the two scorings need to be inosculated so as to integrate a final users’ scoring on a certain item with a proper method.It is proposed in this paper a algorithm of inosculating the users’ credit scoring and preferential scoring in learning with machine,which uses the user’s credit scoring,preferential scoring,number of neighbors on the social network and number of characteristics as the characteristics of training,and takes the user’s actual scoring as the labeling objects,then uses the Fisher linear discrimination as the training model to predict user’s scoring on certain items.The scoring predicted with this algorithm is the user’s final scoring on items.
(1) In view of information of users’ social relationships on the social network,it firstly made the modeling of the social network,then it proposed the algorithm for node similarity on social network in the method of learning with machine.In this algorithm,it uses the information of the nodes themselves,the computed results with the traditional node similarity algorithm and some auxiliary data as the characteristics of the training in learning with machine,and takes the edges (if any) between modes as the labeling objects,then uses the Logistic regression model as the training model to compute the node similarity.After computing the node similarity,it is proposed in this paper a algorithm with the node similarity data and the users’ scoring data to predict the users’ scoring,which is referred to as the users’ credit scoring in this paper.
(2) In view of problems as excessive time and space occupations faced in the mass users recommending system in the collaborative filtering recommendation algorithm which leads to failure of making recommendation for new users,it is proposed in this paper an improved collaborative filtering recommendation algorithm which firstly builds a “users’ characteristics – Item” scoring matrix,then solves the matrix with the latent semantic model,and finally,on the basis of the solved matrix and users’ characteristic data,predicts users’ scorings on items by means of linear weightings,which is generally referred to as the users’ preferential scoring in this paper.
(3) After computation of the users’ credit scoring and preferential scoring,the two scorings need to be inosculated so as to integrate a final users’ scoring on a certain item with a proper method.It is proposed in this paper a algorithm of inosculating the users’ credit scoring and preferential scoring in learning with machine,which uses the user’s credit scoring,preferential scoring,number of neighbors on the social network and number of characteristics as the characteristics of training,and takes the user’s actual scoring as the labeling objects,then uses the Fisher linear discrimination as the training model to predict user’s scoring on certain items.The scoring predicted with this algorithm is the user’s final scoring on items.
英语翻译等我上传了照片再翻译,1
帮忙翻译两段文字等我上传了照片在翻译,谢谢1
英语翻译照片上传出问题了.
拔火罐颜色,上传了照片,帮我讲解下
英语翻译本想上传的,但是那个照片弄了很久都没行,如果有哪位大师可以帮我,我私下把那两篇文章传给你,不甚感激啊,如果翻译得
英语翻译明天我会把所有的照片都删除,因为每天都有好多人给我发信息,如果以后我拍新照片了,我就把照片上传到我的博客上给你看
老师不好意思,刚才照片上传错了。。。
我上传一个照片.有人评论大神.
求外语翻译,急用啊, 我上传的照片上后两段的翻译!直接给翻译出来
英语翻译(我想问一下为什么你们网站上现在还没有上传第4次歌唱比赛的照片) 请英文翻译这句,要美式翻译的,我会选出最好的.
我上传的照片里的英语怎么读!
美国签证照片哪里上传