决策树模型

Two algorithms for structuring decision tree model of multi-dimensional time series classification were presented.

并给出了两种构造多维时间序列分类的决策树模型算法。

Now consider how a decision tree model can be built of the decision structure visualized in the influence diagram.

那么决策树模型又是如何根据可视化影响图网中的结构逐渐形成的呢？

Empirical results show that genetic programming model is more advantageous than traditional statistical models, neural network models and decision tree models in prediction accuracy and robustness.

检验结果表明，该模型在预测精度、实用价值和鲁棒性方面都优于传统的统计模型、神经网络模型和决策树模型。

Concerning the difficulties in part-of-speech tagging in English present participle, the authors analyzed the drawbacks of Hidden Markov Models (HMM) and proposed Bayesian decision tree model.

针对英文现在分词词性标注这一特定问题存在的难点分析了隐马尔可夫模型（HMM）的不足，提出了贝叶斯决策树模型。

An individual´s willingness to take a risk can be determined by: Decision tree modeling. Monte Carlo method. Sensitivity analysis.

一个个人愿意接受风险的程度是由什么决定的：决策树模型蒙特卡洛分析敏感度分析效用分析。