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- BAN,i. e. BN augmented Na?ve-Bayes,is an augmented Bayesian network classifier,whose accuracy is easy to improve by the Boosting technique. BAN(BN augmented Na?ve-Bayes)是一种增强的贝叶斯网络分类器;通过提升很容易提高其分类性能.
- According to MOR,they were tested using 10-fold cross validation with two real world data sets,and compared with Bayesian network classifier based on MPE. 在两个真实数据集上以MOR用10层交叉验证对贝叶斯网络信用评估模型进行了测试,并与最小错误概率准则MPE的贝叶斯网络分类器的结果进行了对比。
- AN ACTIVE BAYESIAN NETWORK CLASSIFIER 主动贝叶斯网络分类器
- naive Bayesian network classifier 朴素贝叶斯网络分类器
- Bayesian Network Classifier and Its Application in CRM 基于贝叶斯网的分类器及其在CRM中的应用
- Results demonstrate that the Bayesian network classifiers based on MOR are able to reduce effectively the credit scoring risk. 结果表明,基于MOR的贝叶斯网络分类模型可以有效地减小信用评估风险。
- A Selective Tree-Augmented Bayesian Network Classifier Based on Rough Set Theory 一种基于粗糙集合理论的树扩张型贝叶斯网络分类器
- Novel Method for Transformer Faults Integrated Diagnosis Based on Bayesian Network Classifier 基于贝叶斯网络分类器的变压器综合故障诊断方法
- Learning Bayesian Network Classifiers Restricted by Class Variable 基于类约束的贝叶斯网络分类器学习
- Bayesian Network Classifier 贝叶斯网络分类器
- superparent that of distribution-based. bayesian network classifiers 朴素贝叶斯分类器
- A Bayesian network for overtraining was constructed under this system. 重点讨论了系统的网络数字化、网络学习、网络推理等关键问题。
- At present the Bayesian networks is applied widely in each field. 摘要目前贝叶斯网络在各种领域得到了广泛的应用。
- This paper presents a multiclass neural network classifier to learn disjunctive fuzzy information in the feature space. 本篇论文提出一个类神经网路分类器来学习多类的分离模糊资讯。
- These instantaneous frequencies are taken as the input pattern to train the Neural Network classifier. 这些瞬间频率可以被当作样本输入类神经网路分类器。
- Markov network is an undirected graph, while Bayesian network is a directed acyclic graph. Markov网是一个无向图 ;而 Bayesian网是一个有向无环图 .
- Bayesian network approaches have become an important research direction in Data Mining. 贝叶斯 (Bayesian)网络近年成为数据采掘引人注目的研究方向。
- In this paper,a new approach to segmenting flame images in kiln based on multiple BP network classifier combination is proposed. 针对这一问题，本文提出了基于多个BP神经网络分类器组合的回转窑火焰图像分割方法。
- Decision tree, neural networks and Bayesian networks are the main tools of KDD. 决策树、神经网络、Bayesian网络等是当前知识发现的重要工具。
- Presented an efficient hybrid heuristic SGS-EM-PACOB algorithm for learning Bayesian network with mi-ssing values. 建立了具有数据缺失训练集下学习贝叶斯网的一种混合启发方法:SGS-EM-PACOB算法。
