Bayes classification
英 [beɪz ˌklæsɪfɪˈkeɪʃn]
美 [beɪz ˌklæsɪfɪˈkeɪʃn]
网络 贝叶斯分类
双语例句
- Naive Bayes classification is a kind of simple and effective classification model. However, the performance of this model may be poor due to the assumption on the condition independence.
朴素贝叶斯分类是一种简单而高效的分类模型，然而条件独立性假设在现实中很少出现，致使其性能有所下降。 - Research on application of word correlation in Naive Bayes text classification
词间相关性在贝叶斯文本分类中的应用研究 - Handwriting Digit Recognition Based on Enhanced Bayes Classification
基于加强贝叶斯分类的手写体数字识别 - Research on Facial Expression Recognition Based on Gradient Projection and Bayes Classification
基于灰度差投影与贝叶斯分类器的表情识别研究 - Based on vector space model a Bayes text classification method is proposed.
提出基于向量空间模型的贝叶斯文本分类方法。 - Research on the Recognition of Suspicious Financial Transactions Based on Bayes Classification
基于贝叶斯分类的可疑金融交易识别研究 - Then by Naive Bayes text classification method, a document unknown class can be classified.
然后采用贝叶斯文本分类方法对未知类别文档进行分类。 - This paper focuses on privacy preserving classification, and presents a privacy preserving Naive Bayes classification approach based on data randomization and feature reconstruction.
围绕着分类挖掘中的隐私保护问题展开研究，给出了一种基于数据处理和特征重构的朴素贝叶斯分类中的隐私保护方法。 - In this paper, the observed data in the Jiaozhou Bay are used to explore the application of Bayes classification method to the research field.
结合胶州湾实际调查数据，探讨了贝叶斯分类方法在该领域的应用。 - Application of Bayes Classification in Forecasting the Trajectories of MCS
贝叶斯分类法在MCS移动路径预测中的应用 - Bayes classification approaches with continuous attributes
处理连续变量的Bayes分类方法 - The experiment of Naive Bayes classification indicates that this method can effectively improve classification precision of Chinese texts.
基于朴素贝叶斯分类方法的实验表明，提出的方法能够有效提高中文文本的分类准确率。 - Weighted Naive Bayes Classification Algorithm Based on Rough Set
基于RoughSet的加权朴素贝叶斯分类算法 - The Design of IDS Based on Bayes Classification
基于改进贝叶斯分类算法的入侵检测系统模型的构建 - FCC neural network model works according to the k-nearest neighbor samples 'generalization space which users' information falls into. With the increasing of value k, the classification effect becomes close to that of Bayes classification algorithm.
模糊角分类神经网络模型根据用户信息所落入的k最近邻的样本泛化空间来进行分类，随着k值的增大，其分类效果趋近于贝叶斯分类算法。 - Chinese Traditional Medical Clinical Diagnosis for Coronary Heart Disease Based on Bayes Classification
贝叶斯分类算法在冠心病中医临床证型诊断中的应用 - The experimental results show that this algorithm is feasible and effective, more accurate than Nave Bayes classification ( algorithm).
实验结果表明，该算法是可行有效的，比简单贝叶斯分类算法有更高的精度。 - The normal pattern Bayes classification model based on the Sammon optimal discriminant plane is constructed.
根据图象奇异值特征向量样本建立了Sammon最佳鉴别平面上的正态模式Bayes分类模型。 - Improving Naive Bayes Classification Model in Various Methods
多种策略改进朴素贝叶斯分类器 - To decrease extraction errors made by image noise and natural boundary incontinuity, authors make an accurate multi-segmentation with Bayes classification technique to revise the result.
为避免图像噪声和自然边界不连续造成的提取误差，使用Bayes分类进行二次精细分割加以修正。 - To the first problem, a segmentation algorithm based on adaptively skipped frames and CNN ( Cellular Neural Network) are presented, and to the second, it is proposed a novel multiple object segmentation algorithm based on spatial-temporal curve evolution and Bayes classification for minimum error.
对前者分割提出了基于自适应跳帧的分割算法和基于CNN（细胞神经网络）的实时分割法，对后者提出了基于时空曲线演化的多视频对象分割和Bayes最小误差判断的方法。 - The incremental Bayes classification ( algorithm) provides a new method for updating of ( classification).
增量式贝叶斯分类算法的提出为分类器的更新提供了一条新途径。 - All kinds of application of statistic method to the remote sensing image were studied by means of Bayes classification method of kernel density estimation and BP classification method of neural network, while all these were compared with traditional methods.
文章主要研究了各种统计分类方法在遥感图像分类中的应用，在此基础上运用核密度估计Bayes分类方法、BP神经网络分类法进行分类，并与传统的统计分类方法进行比较。 - An incremental Bayes classification principle, parameter calculation and algorithm based on small training set was presented to solve the difficult problem involving getting labeled training documents.
针对难以获得大量有类标签的训练集问题，提出了基于小规模训练集的增量式贝叶斯分类，给出增量式贝叶斯分类机理参数计算及其算法。 - The paper focuses on the method of content-based image classification, and discusses in detail related key techniques, such as skin color detection, skin texture detection, edge detection, feature extraction and classification methods ( Bayes classification and SVM classification).
重点讨论了基于内容的图像过滤方法，其中包括肤色检测、纹理检测、轮廓检测、特征选取和分类方法（Bayes分类器和SVM分类器）等关键技术。 - Based on probability statistic theory and Bayes classification rule, probabilistic neural network model was proposed and was applied to classify the producing areas of the fluecured tobaccos.
利用基于统计思想和Bayes分类规则的概率神经网络的基本网络模型预测烤烟产地。 - Introduced the method of Native Bayes and give the algorithm of Native Bayes classification.
介绍了朴素贝叶斯分类方法，并给出了朴素贝叶斯分类算法。 - The basic theory of Bayes classification and the Naive Bayes classification model are introduced. 2.
本文主要工作如下：1、介绍了贝叶斯分类的基本理论和朴素贝叶斯分类模型。 - Ve Bayes classification and analysis the algorithms performance. 4 Make the three algorithms apply in the system of quality control and use the data to verify, and the results show that the algorithms is feasible.
4将论文中提出的三个贝叶斯网络分类算法应用到质量管理系统中进行实验，并且用质量管理中的数据集对算法进行了验证，实验结果说明了算法的可行性。 - Text classification takes simple Bayes classification method. The feature extraction use TF-IDF as selection criteria, and by sentences 'three-tuple words to define selection range, which achieve the purpose of natural dimension.
文本分类用的是简单的贝叶斯分类方法，在特征提取的过程中，采用TF-IDF值作为特征选择的标准，并用三元组中心词来限定选取范围，达到自然降维的目的。