搜索资源列表
svm-EM
- SVM(支持向量机）和EM（最大熵）文本分类算法，压缩包中包括了测试文本（环境类和计算机类），词典，停用词表等。-SVM (support vector machine) and EM (maximum entropy) text classification algorithm, compressed package includes test text (environmental and computer), dictionary, thesaurus, such as disabled.
maxent-2.5.1
- 最大熵分类器，实现对文本的分类，很好的机器学习算法。-Maximum Entropy classifier, the realization of the text classification, a good machine learning algorithm.
segment_ga
- 遗传算法在图像分割中的应用，有在一维和二维最大熵分割中的基本算法的实现及改进后的实现，自己看看吧。-Genetic algorithm in image segmentation, there is at one and two dimensional maximum entropy partitioning in the realization of the basic algorithms and improved to achieve their own look.
threshold-segentation
- 图像分割算法，改进的二维最大熵遗传算法研究-Image segmentation algorithm, the improved genetic algorithm for two-dimensional maximum entropy
GA1threshold
- 针对Bmp图片，根据以最大图像的信息熵为目标，采用遗传算法（源码全）对图像进行单阈值变换，实现对图像的阈值分割。（VC6.0实现）-Bmp picture, according to the target maximum image information entropy, genetic algorithm (source all) single threshold transform image threshold segmentation of images. (VC6.0 achieve
maxent-master
- 最大熵模型算法，用于统计学习，文本分类，文本聚类研究-The maximum entropy model algorithm for statistical learning, text classification, text clustering research
Cascade
- 级联形式的最大相关熵准则自适应滤波算法,希望有所帮助-Cascade MCC adaptive filtering algorithm
staah
- 采用的是通用的平面波展开法,基于负熵最大的独立分量分析，基于K均值的PSO聚类算法。- Using common plane wave expansion method, Based on negative entropy largest independent component analysis, K-means clustering algorithm based on the PSO.
qeng-V7.1
- 基于负熵最大的独立分量分析，线性调频脉冲压缩的Matlab程序,基于混沌的模拟退火算法。- Based on negative entropy largest independent component analysis, LFM pulse compression of the Matlab program, Chaos-based simulated annealing algorithm.
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。(The statistical learning method is an important subject in the field of computer and its application.)