Bayesian filtering is plenty useful.
贝叶斯滤波十分的有用。
On the customer support side, a Bayesian Filtering algorithm zaps spam and turns email into trackable cases routed to the correct department.
在客户支持方面，贝叶斯过滤（Bayesian Filtering）算法会阻击所有spam，让email能够准确投递到相应的部门。
Instead of setting up smart folders based on keywords, Shrook will use Bayesian statistical filtering to pick out items of interest, and you teach it by picking out examples.
代替了用键盘来设置智能文件夹，Shrook使用贝叶斯统计学方法来过滤并挑选出你感兴趣的东西，而且你可以通过拿出一些例子来教它。
The Bayesian spam filtering technique works by comparing "spam" words with "normal" words.
Bayesian垃圾邮件过滤技术通过将“垃圾邮件”单词与“正常”单词进行比较来实现过滤任务。
This paper recommended the E-mail filtering module which adopts the heuristic filtering technique based on the Bayesian Statistic method detailedly.
重点介绍了采用基于贝叶斯方法的智能启发式过滤技术的邮件过滤模块设计。
Then we will introduce some common-used filtering techniques. Particle filter which is based on Bayesian estimation and Monte Carlo method will be emphasized.
然后我们介绍了常用的滤波技术，重点是以贝叶斯递推估计和蒙特卡罗方法为基础的粒子滤波。
Finally introduced the fundamental step of filtering spam mail with Bayesian algorithm.
最后介绍了贝叶斯过滤算法反垃圾邮件的基本步骤。
Based on wavelet domain Hidden Markov model, a novel speckle suppression method for medical ultrasound images is presented which combines Bayesian estimation and homomorphic filtering.
在此基于小波域隐马尔可夫树模型，将贝叶斯估计和同态滤波思想有机结合，提出一种新的医学超声图像去噪方法。
By introducing the novel users' feedback mechanism, the technique adopts an improved Na? Ve Bayesian approach to construct classifiers for specific users to fulfill spam filtering.
该技术通过引入用户反馈机制，使用改进的朴素贝叶斯方法，构建面向特定用户的过滤器，从而进行垃圾邮件过滤。
The filtering system was built up with multi-layer filtering technology as blacklist technology, characteristic filtering, Naive Bayesian, and user feedback mechanism.
系统采用黑白名单过滤、邮件特征过滤和贝叶斯分类相结合的三层过滤技术，并通过用户反馈机制降低误报率。
We finally described a Spam Filtering model and realization of the prototype based on Bayesian model with related improvements.
最后给出基于贝叶斯及其改进算法的邮件过滤模型及基于该框架的垃圾邮件过滤原型系统的实现。
We finally described a Spam Filtering model and realization of the prototype based on Bayesian model with related improvements.
最后给出基于贝叶斯及其改进算法的邮件过滤模型及基于该框架的垃圾邮件过滤原型系统的实现。
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