bayesian的例句大全

Bayesian network and Boolean network are powerful tools to genetic networks research.

布尔网络模型和贝叶斯网络模型都是研究基因调控网络的有力工具.

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.

Confidence sought to approximate Bayesian lower failure probability obtained.

给定置信度求出贝叶斯近似下限,求出失效概率.

We study the gene regulatory network of yeast using Bayesian networks.

本篇论文主题在于利用贝氏网路探讨酵母菌基因调控网路的问题.

For multiple-marker analysis , Xu ( Genetics, 2003, 163:789-801 ) developed a Bayesian shrinkage estimation ( BSE ) method.

对于前者, Xu ( Genetics, 2003, 163:789-801 ) 首先提出了Bayesian压缩估计方法.

Bayesian statistics theory: Expatiate the mathematic principle of Bayesian Networks, Bayesian statistics.

贝叶斯统计理论: 阐述贝叶斯网络的数学原理 —— 贝叶斯统计.

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.

Bayesian Compressed Sensing complete code can be used directly.

贝叶斯压缩传感完整的源代码可以直接使用.

We discuss some questions on the Bayesian Dynamic Models in this article.

本文主要是对贝叶斯动态模型问题作了一点探讨.

The general static Bayesian game model is established for bidding quotation.

建立了投标报价一般静态贝叶斯博弈模型.

Recognition and achieves better performance than traditional Bayesian Classifier.

贝叶斯人脸识别方法更优的性能.

Bayesian inference is a valid approach used in geophysical problems.

贝叶斯理论是一种应用在地球物理问题中的有效方法.

The statistical Bayesian channel estimation was investigated in the CDMA TDD mode.

分析了CDMA时分模式下的统计贝叶斯信道估计.

Tenenbaum, J . B . ( 2003 ) . Introduction to probability and Bayesian inference.

2003年 ), 《机率与贝氏推断的简介》.

Compared with Bayesian classification model, experimental results show SANBC has higher accuracy.

实验结果表明,与朴素贝叶斯分类模型相比,SANBC分类模型具有较高的分类正确率.

Then an improved weighted Bayesian method was proposed.

在此基础上，利用加权的方法提出了一种改进的贝叶斯算法。

Spam: the thesis research the spam filtering algorithm based on Bayesian.

垃圾邮件处理：研究了基于贝叶斯算法的垃圾邮件过滤。

An improvement program of application of Bayesian algorithm to anti-spam

贝叶斯算法在反垃圾邮件应用中的改进方案

To overcome Bayesian algorithm's shortcomings of requiring the knowledge of halftone kernel and high computational complexity and memory buffer, an improved method via maximum a posteriori was proposed.

针对Bayesian算法以误差分散核为先验、时空复杂度高的缺点，提出一种逆半调改进算法。

Improvement of Locally Weighted Naive Bayesian Algorithm based on Distance Measure

基于距离度量的局部加权朴素贝叶斯算法改进