最大熵模型

主要结论如下：（1）最大熵模型可以用于玉米种植分布与气候关系研究。

The main conclusions are listed as follows . ( 1 ) The MaxEnt model is suitable for revealing the relationship between maize cultivation distribution in China and climate .

基于最大熵模型的QA系统置信度评分算法

A Maximum Entropy Model Based Confidence Scoring Algorithm for QA

最大熵模型的树-栅格最优N解码算法

A Tree-Trellis N-Best Algorithm for Decoding in Maximum Entropy Models

为了解决上述问题，本文首先提出了一个基于最大熵模型（MaximumEntropyModel）的入侵检测方法。

To attack these problems , we first propose an intrusion detection method based on the Maximum Entropy ( ME ) Model .

为此，文中主要说明了四种中文命名实体识别方法，包括规则、隐马尔可夫模型（HiddenMarkovmodel，HMM）、最大熵模型（MaximumEntropy，ME）和条件随机域（conditionalrandomfields，CRF）。

So , we introduced four kinds of Chinese Named Entity recognition techniques in the paper , including rule-based method , Hidden Markov Model ( HMM ), Maximum Entropy ( ME ) and Conditional Random Fields ( CRF ) .

首先利用小波变换，提原始图像的低频子图，然后利用独立分量分析（ICA）进行特征提取，最后采用最大熵模型进行分类识别。

Firstly , the low frequency sub-band of the original image is extracted through wavelet transform , and then the feature is extracted with independent component analysis , finally , face is recognized by Maximum Entropy Modeling .

此外，本文提出了基于最大熵模型的多遍韵律结构预测系统，并和基于CRFs的预测系统进行了性能上比较和分析。

In addition , this paper , came up with maximum entropy based multi-pass prosodic structure prediction system , and compared with the CRFs-based prediction system .

通过和最大熵模型相比较，验证了HHMM对于处理多尺度嵌套序列有更强的表征能力。

In comparison with maximum entropy model , HHMM is experimentally proved to be more powerful for dealing with multi-scale embedded sequence problem .

基于最大熵模型的语句自动分类研究

A Study of Automatic Sentence Classification Based on Maximum Entropy Model

基于最大熵模型的汉语问句语义组块分析

Chinese Question Sentence Semantic Chunk Parsing Based on Maximum Entropy Model

命名实体识别；最大熵模型；客户评论；文本挖掘；

Named entity recognition Maximum entropy model User reviews Text mining ;

基于独立分量分析和最大熵模型的人脸自动识别方法

Automatic Face Recognition Method Based on ICA and Maximum Entropy Modeling

基于最大熵模型的中文指代消解系统实现

Realization on Chinese coreference resolution system based on maximum entropy model

基于最大熵模型的交集型切分歧义消解

Resolution of Overlapping Ambiguity Strings Based on Maximum Entropy Model

一个基于最大熵模型的文本分类方法

Approach to Chinese Text Categorization Based on Maximum Entropy Model

知识创新随机过程最大熵模型

The Model on Maximum Entropy of Knowledge Creating Stochastic Process

基于最大熵模型的邮件过滤系统研究

Research on Mail Filtering System Based on Maximum Entropy Model

基于最大熵模型的不良文本识别方法研究

Research on Method of Undesirable Text Recognition Based on Maximum Entropy Model

以此建立了识别名词短语的最大熵模型。

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

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。

Maximum Entropy Model is applied to Email categorization .

基于最大熵模型的韵律短语边界预测

Prosody Phrase Break Prediction Based on Maximum Entropy Model

基于最大熵模型的中文名词短语识别

Chinese NP Recognition Based on a Maximum Entropy Model

基于遗传算法的最大熵模型交通分布的求解

Solving Maximum Entropy Model Traffic Distribution by Genetic Algorithm

基于最大熵模型的中国人名自动识别

Automatic recognition of Chinese name based on maximum entropy

基于最大熵模型的本体概念获取方法

Ontological Concept Extraction Method Based on Maximum Entropy Model

基于最大熵模型的中文姓名识别方法初探

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

利用非广延最大熵模型进行文本分类

Using Non-extensive Maximum Entropy Model for Text Classification

最大熵模型（ME）是条件概率模型，易于融入丰富的特征。

ME is a conditional probabilistic model , and easily to fuse rich features .

语言信息处理技术中的最大熵模型方法

Method of Maximum Entropy Model for Language Processing

基于受限最大熵模型的汉语词性标注的研究

Chinese POS Tagging Using Restricted Maximum Entropy Model