Statistical and Machine Learning的意思|示意
统计与机器学习
Statistical and Machine Learning的网络常见释义
机器学习 (c)统计及机器学习(statistical and machine learning): 此一領域涵盖了分類、回归、群聚等重要的三个方法，常用的手法包含决策 树、神经网路、Support vector machine、hidden Markov...
Statistical and Machine Learning相关例句
Support vector machines (SVM) are a kind of novel machine learning methods based on statistical learning theory, which has been developed to solve classification and regression problems.
支持向量机是一种基于统计学习理论的新颖的机器学习方法，该方法已广泛用于解决分类和回归问题。
Secondly, the text studies the Statistical Learning Theory(STL) and Support Vector Machine(SVM)theory seriously, discusses multi-category classification algorithms of SVM.
其次，认真研究了统计学习理论的主要内容和SVM算法的基本原理，并且就SVM的多种多类别分类算法分别加以讨论。
There will be some discussion of statistical pattern recognition, but less than in the past, because this perspective is now covered in 6.893 Machine Learning and Neural Networks.
将有一些比过去少的统计模式认知的讨论，因为这观点现在包含在6.893机械学习和神经网路课程中。
Support Vector Machine (SVM) is an important learning method of statistical learning theory, and is also a powerful tool for pattern recognition.
支持向量机是统计学习理论的一个重要学习方法，也是解决模式识别问题的一个有力工具。
In this paper, statistical learning theory and support vector machine method are introduced in eor potentiality prediction for the first time.
本文首次将统计学习理论及支持向量机方法引入提高采收率方法的潜力预测中。
Support vector machine (SVM) is a novel and powerful learning method which is derived based on statistical learning theory (SLT) and the structural risk minimization principle.
建立在统计学习理论基础之上的支持向量机(SVM)，是一种基于结构风险最小的小样本机器学习方法。