这类问题包括分类和回归。
这种方法被深入地研究并广泛应用在诸如分类和回归问题上。
It has been well studied and widely applied to the classification and regression.
介绍了支持向量机分类和回归算法，将其应用于梁结构的损伤诊断中。
This paper introduces the support vector classification and regression algorithms, which are applied to the structure damage identification.
贝叶斯方法是那些明确地在分类和回归问题中应用贝叶斯定理的算法。
Bayesian methods are those that are explicitly apply Bayes' Theorem for problems such as classification and regression.
入院次晨白细胞计数位于分类和回归树第三层，也对预后产生有意义的影响。
White blood cell count on 2~ndmorning is also correlated with the prognosis, while it is at the third step.
内核方法和支持向量机(SVMs)与高斯过程相关并应用于分类和回归问题。
Kernal methods and support Vector Machines (SVMs) are related to Gaussian processes and can also be used in classification and regression problems.
支持向量机是继神经网络后机器学习的热点研究技术，它主要应用于分类和回归问题中。
SVM is the hot issue accompanying artificial neural network in machine learning. It involves any practical problems such as classification and regression estimation.
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。
Support vector machines (SVM) are a kind of novel machine learning methods, based on statistical learning theory, which have been developed for solving 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。
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.
从目前的这种描述看来，最近邻非常类似于回归和分类。
So, at this point, this description should sound similar to both regression and classification.
与我们在之前文章的回归和分类模型中所做的类似，我们接下来应该选择Classify选项卡。
Like we did with the regression and classification model in the previous articles, we should next select the Classify TAB.
数据挖掘通常涉及到一些标准的任务，包括聚集、分类、回归分析和关联性规则学习。
Data mining commonly involves a few standard tasks that include clustering, classification, regression, and associated rule learning.
广义回归神经网络在逼近能力、分类能力和学习速度方面具有较强优势。
General regression neural network is proved with certain superiority in the ability of approaching, classification and learning speed.
探讨了将逐步回归分析方法用于船舶柴油机黑色金属磨损状态分类模型的方法和技术。
The stepwise regression analysis approach, which is used to classify the wear model of Ferrous metal in ship diesel, is discussed.
应用因子分析和回归方法对春玉米高产农艺措施进行了数量分类与寻优。
The classification of cultivation measures for spring maize was studied with the principal factor analysis and regression methods.
支持向量机(SVM)是一种线性机器，广泛用于模式分类和非线性回归。
The support vector machine (SVM) is a linear classification machine, it is used commonly in the pattern recognition and nonlinear regression.
传统方法用主成分分析、逐步回归分析和数量化理论来实现对森林立地进行分类和评价。
Traditional method analyze, return to with main composition analysis with quantity theory come, realize, set up to forest type go on, divide and appraise progressively.
给出带有模糊决策的模糊机会约束规划模型，在此基础上，研究模糊线性支持向量分类机(算法)和模糊线性支持向量回归机(算法)。
Proposed the model of fuzzy chance constrained programming with fuzzy decision, and did some research on fuzzy linear support vector regression (algorithm) on this base.
对非寿险产品分类费率的厘定通常采用单项分析法、小偏差法和多元线性回归等方法。
One-way analysis, minimum bias procedures and multiple regressions have been widely used in non-life classification rating.
并且分别详尽的阐述了支持向量分类和支持向量回归的理论思想、计算步骤和优化算法。
It also elaborates the ideas, counting steps and optimize algorithm of support vector classification and regression.
因此，栅栏模型可认为是二分类回归模型和零截尾计数模型的联合。
Therefore, the Hurdle model can be considered the combination of binary regression model and the zero-truncated count model.
本案例采用结合模糊聚类和广义神经网络回归的聚类算法对入侵数据进行分类。
This case USES combined with fuzzy clustering and generalized regression neural network clustering algorithm for intrusion data classification.
决策树和决策树的组合，是解决分类问题和回归问题比较流行的一类算法。
Decision trees and their ensembles are popular methods for the machine learning tasks of classification and regression.
决策树和决策树的组合，是解决分类问题和回归问题比较流行的一类算法。
Decision trees and their ensembles are popular methods for the machine learning tasks of classification and regression.
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