maximum entropy model的例句大全

So we have established a maximum entropy model recognizing noun phrase.

以此建立了识别名词短语的最大熵模型。

Maximum Entropy Model is applied to Email categorization.

本文将最大熵模型用于邮件分类中，比较了多种特征组合方式、特征数、迭代数、层次分类及直接分类的分类效果。

Prosody Phrase Break Prediction Based on Maximum Entropy Model

基于最大熵模型的韵律短语边界预测

Chinese NP Recognition Based on a Maximum Entropy Model

基于最大熵模型的中文名词短语识别

Solving Maximum Entropy Model Traffic Distribution by Genetic Algorithm

基于遗传算法的最大熵模型交通分布的求解

Ontological Concept Extraction Method Based on Maximum Entropy Model

基于最大熵模型的本体概念获取方法

An Elementary Study of Chinese Person Names Identification Based on Maximum Entropy Model

基于最大熵模型的中文姓名识别方法初探

Using Non-extensive Maximum Entropy Model for Text Classification

利用非广延最大熵模型进行文本分类

Method of Maximum Entropy Model for Language Processing

语言信息处理技术中的最大熵模型方法

Chinese POS Tagging Using Restricted Maximum Entropy Model

基于受限最大熵模型的汉语词性标注的研究

We treat the coreference resolution as a optimization problem and introduce ILP to realize the global optimization with the output of maximum entropy model.

将共指消解问题作为一个优化问题，引入线性规划的方法，对最大熵模型的输出进行进一步的全局优化。

In the product named recognition method based on Maximum Entropy model and Conditional Random Field, we added the brand features and series features into feature templates, used to trigger the brand named entities, series named entities and type named entities recognized.

在基于最大熵模型和条件随机场模型的产品名实体识别方法中，将产品的品牌库和系列库融入到模型的特征模板中，用于触发产品的品牌名、系列名及型号名的识别。

Research on Chinese Person Name and Location Name Recognition Based on Maximum Entropy Model

基于最大熵的汉语人名地名识别方法研究

Furthermore, the framework of mail filtering system based on maximum entropy model is constructed.

在此基础上，构造出基于最大熵模型的邮件过滤系统的基本框架。

Two methods which are based on pattern matching and maximum entropy model separately are proposed is this paper.

本文提出了两种方法：基于模式匹配的事件元素识别，以及基于最大熵的事件元素识别。

Research on Maximum Entropy Model for Keyword Indexing

关键词自动标引的最大熵模型应用研究

A Maximum Entropy Model for Mortality Estimation

估计死亡率分布的一个最大熵模型

Using Hidden Markov Model for Text Information Extraction Based on Maximum Entropy

基于最大熵的隐马尔可夫模型文本信息抽取

An Improved Maximum Entropy Language Model and Its Application

语言模型中一种改进的最大熵方法及其应用

In this paper, we wil discuss how to use the the maximum entropy method theory to estimates the the tensor impedance of magnetotelluric ( MT) sounding data, and use the model to calculate the measured signal and model signal.

本文将从由最大熵方法出发，研究最大熵谱法估计大地电磁测深资料的张量阻抗，并利用模型信号与实测信号对此方法进行验证。