machine learning是计算机科学和人工智能的一个子领域,用于构建可以从数据中学习到model,而不需要显示地编程学习rule statistical model:是数学的一个分支,用于发现多个变量之间的关系,从而可以预测输出 diffrent eras(不同时代的产物) statistical modelling已经存在几世纪的时间了,而machine learning实际上从1990年代才变得...
whereas in machine learning, we often use nonparametric approaches, which means that we don’t pre-specify the structure of the model (e.g., K-nearest neighbors, decision trees,
10)模型选择和确认(Model selection and validation): e1071包的tune()函数在指定的范围内选取合适的参数(http://cran.r-project.org/web/packages/e1071/index.html)。ipred包的errorest()函数用重抽样的方法(交叉验证,bootstrap)估计分类错误率(http://cran.r-project.org/web/packages/ipred/index.html)。
1.data model vs algorithm model 统计学研究变量之间的关系,比如x和y之间的关系。 统计学在分析数据时有两个目标: a.Prediction,即给一个x,对应的y是什么(产生式?) b.Information,或者说就是x和y之间的关系,x生成到y的过程(生成式?) 那想要达到这两个目标有两种方式: a.data model,98%的统计学家使用...
In this paper, a comparative study of the performance of two non-parametric machine learning techniques (See5 and Rough Set) is carried out. We have applied the two methods to the problem of the prediction of insolvency of Spanish non-life insurance companies, upon the basis of a set of ...
Our study demonstrates that there was generally little differentiation in prediction performance between statistical and machine learning landslide susceptibility modeling techniques applied to the AOIs in Lower Austria. This result underlines that even when conducting model comparisons with a clear objective,...
Statistical Modeling of Interaction Quality in Spoken Dialogue Systems: A Comparison of (Conditioned) Hidden-Markov-Model-based Classifiers vs. Support Vec... Statistical Modeling of Interaction Quality in Spoken Dialogue Systems: A Comparison of (Conditioned) Hidden-Markov-Model-based Classifiers vs. ...
To machine learning, data mining, as the representative of statistical learning methods and computational linguistics and knowledge related to the calculation model has been gradually and the integration of information retrieval. 翻译结果2复制译文编辑译文朗读译文返回顶部 Represented by machine learning, data...
The workflow of personalized health status monitoring framework.aStatistical modeling: Healthy samples from the discovery set are subjected to data preprocessing and subsequently used as a training set to train the model. The model establishes quantitatively a computational pipeline to infer the health in...
在machine learning中最常见的regression问题就是吴恩达老师的房价预测问题了。 问题说的是,当给定一个地区的具有不同面积大小的房屋和所对应的价格,要求在任意给一个该地区的不同面积大小的房屋,model能够predict出这个所给面积的房屋对应的价格问题。 在上面的这个例子中,不同的面积就对应了X集合,叫做因变量。不同...