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Language_model_learning_in_chinese
- 语言模型学习论文-中文 基于最大熵方法的统计语言模型.pdf 基于对话回合衰减的cache语言模型在线自适应研究.pdf 基于Web网页语料构建动态语言模型.pdf 统计语言模型综述.pdf -Language model to study papers- Chinese based on the maximum entropy method of statistical language model. Pdf Round attenuation based on di
boundsonLDPCandLDGM
- The paper is about bounds for LDPC and LDGM codes under MAP. A new method for analyzing low density parity check (LDPC) codes and low density generator matrix (LDGM) codes under bit maximum a posteriori probability (MAP) decoding is introduced. T
Burg3
- 本文通过对目前常用的现代谱估计方法一一最大墒谱估计方法中的谱 峰幅度和谱线分辫率两个基本问题的分析和讨论，和经典的傅立叶谱估计方法作比 较，指出在最大墒谱估计方法的应用中应注意的几个问题。 -Based on the currently used modern spectral estimation method 11 method of maximum entropy spectral estimation of the spectral peak amplitude and sp
Burg_VC
- 介绍了现代功率谱估计中的B哩算法最大嫡谱估计的基本原理，并采用VC+十语言对 功率谱密度(鹅D)进行了仿真。同时比较了BI雌算法和经典谱估计中Bardett周期图法，针对Burg算法中的 模型阶次的选择进行了分析，提出了最佳模型阶次采用最终预报误差(I下E)为准则的结论。 -Introduction of modern power spectrum estimation algorithm B mile maximum entropy spectral estimation prin
zuidashang
- 一种基于最大熵和部件的物体检测方法。在人脸检测上的应用取得了很大的准确率提升。-This paper presents a probabilistic part-based approach for texture and object recognition. Textures are represented using a part dictionary found by quantizing the appearance of scale- or affine-invariant ke
MaximumEntropyInferenceforGeographicalInformation
- Maximum Entropy Inference for Geographical Information Systems
DataMining3rd
- 评测数据在去掉停用词的 分类过程开放测试中,引入Good-Turing算法的分类性能比Laplace原则提高了3·05 ,比Lidstone方法提高 1·00 .而在交叉熵选择特征词的算法中,增加Good-Turing的贝叶斯分类方法可比最大熵分类性能高95 .通过这种数据平滑的算法,有助于克服因数据稀疏而引发的特征词缺失问题 -Evaluation data in the open test of the classification process to remove stop
DEM-calculate
- 文章借助最大熵定理的基本思路构建 DEM 地形信息量分级判定模型, 可客观获得连续型栅格地形数据在信息量计算上最优分级,为有效估算 DEM地形信息量 提供科学依据。-The basic idea of the article with the maximum entropy theorem to build DEM terrain amount of information classification decision model can be objectiv
The-maximum-entropy-method-
- 算法通过将二维直方图分为四部分：背哥、目标．受噪声干扰的背景和受噪声干扰的目标，以选取这四部分的信息熵的和最大作为闽值的选取准则。访方法有三个优点：尽可能包括背罱部分和目标部分；可以有效地提高对噪声敷据的鲁棒性；不过度地引入噪声和边缘信息。实验结果表明，谊方法具有较好的图像分割效果。-Through two-dimensional histogram algorithm will be divided into four parts: back elder brother, target. By
aveshang
- 基于极大熵函数，对绝对值方程求解 ，主要利用牛顿型算法-Based on the maximum entropy function of the absolute value equation solving
ica_ngA1
- 盲源分离的自适应在线学习方法，采用最大熵，四个源信号，四个混合信号和自然梯度方法-Adaptive online learning method for blind source separation using the maximum entropy, four source signals, four mixed-signal, and the natural gradient method
maxentropie
- threshold is a key technique for the segmentation and edge detection in an image for image processing. Here in this file the threshold is on the based of the maximum entropy of an image using shannon entropy method.
Probe-into-Image-Segmentation-Based-on-Sobel-Oper
- Probe into Image Segmentation Based on Sobel Operator and Maximum Entropy Algorithm
shangfenbuguji
- 主要介绍了分布估计算法方面关于熵的介绍，实现最大熵分布估计算法-Mainly introduces the estimation of distribution algorithm on entropy is introduced, the realization of maximum entropy estimation of distribution algorithm
Maximum-Entropy
- In the distributed processing, where common labeled data may be not available for designing classifier ensemble, however, an ensemble solution is necessary, traditional fixed decision aggregation could not account for class prior mismatch or cl
Two-dimensional-maximum-entropy
- 二维最大熵与交叉熵结合 Two dimensional maximum entropy and cross entropy based-Two dimensional maximum entropy and cross entropy based
JEED
- 基于联合熵的多变量混沌时间序列相空间重构，按照最大熵选择分量-Phase space reconstruction of multi variable chaotic time series based on combined entropy, in accordance with the maximum entropy selection
Information, Entropy and Their Geometric Structures
- Abstract which allows users to download, copy and build upon published articles even for commercial purposes, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. Howev
2012.李航.统计学习方法
- 《统计学习方法》是计算机及其应用领域的一门重要的学科。《统计学习方法》全面系统地介绍了统计学习的主要方法，特别是监督学习方法，包括感知机、k近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归与最大熵模型、支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。除第1章概论和最后一章总结外，每章介绍一种方法。叙述从具体问题或实例入手，由浅入深，阐明思路，给出必要的数学推导，便于读者掌握统计学习方法的实质，学会运用。为满足读者进一步学习的需要，书中还介绍了一些相关研究，给出了少量习题，列出了主要参考文
新建文本文档
- 利用最大熵法在MATLAB软件上对图像进行阈值分割，程序亲测可行(Maximum entropy method for image segmentation)