| 1. | Data mining for learning mandarion prosodic models
基于数据挖掘的普通话韵律规则学习 |
| 2. | A rule learning algorithm based on neural network ensemble
一种基于神经网络集成的规则学习算法 |
| 3. | An approach of learning fuzzy rules based on learning automata arrays
基于学习自动机阵列的模糊规则学习方法 |
| 4. | One of them is a learning task of cellular automata rules
其中一个问题为细胞自动机的规则学习，属于机器学习范畴。 |
| 5. | The system uses xml as representation model of web pages , bp neural network to learn extraction rules
系统采用xml作为web页面的表示模型,利用bp神经网络进行规则学习。 |
| 6. | Experiments indicate that the system can learn rules about interested domain , also has good adaptability and scalability
实验表明,系统可以对感兴趣领域进行抽取规则学习,具有良好的可扩展性和适应性。 |
| 7. | And generating simple and strong rules which can used by information extraction module through rule learning arithmetic after training
训练结束后,根据规则学习算法学习生成简单、健壮的规则库,以供信息抽取模块使用。 |
| 8. | This article introduces the support vector machine method in the statistic theory and transformation - based learning method in the rule method
接着,本文详细介绍了统计机器学习理论中支持向量机方法和规则学习方法中的基于转换的学习。 |
| 9. | To solve the problem of rule learning time cost for traditional transformation based part of speech tagging method of latin mongolian , a dynamic partition algorithm was presented
针对传统基于转换的词性标注方法中规则学习速度过慢的问题提出了一种对训练语料库进行动态划分的算法。 |
| 10. | This thesis concentrates its research mainly on the method of rule learning base on bp neural network which definition of rules are combined the web pages ’ features of path , left / right boundary and semantic
本文的工作重点是基于bp神经网络的规则学习方法,规则的表示结合网页的路径特征、左右边界特征和语义特征来定义。 |
