搜索资源列表
PatTermExtraction
- 使用无监督的机器学习方法进行术语抽取的系统,具有预处理、分词、抽取术语等功能。-Unsupervised machine learning methods for term extraction system with preprocessing, segmentation, extracted terms, and so on.
CRF-0.52
- CRF工具包,最新版,windows下使用,已编译好可直接使用。分词,特征选择,机器学习-CRF toolkit, the latest version, windows used good can be directly compiled to use. Segmentation, feature selection, machine learning
pocket_crf_0.45.tar
- pocket_crf_0.45,CRF++的改进版,占资源更少,速度更快,支持多阶特征。机器学习,实体识别。-pocket_crf_0.45, CRF++ version of the improvement, accounting for fewer resources, faster, support multi-band characteristics. Machine learning, to identify entities.
75785
- 机器学习与数据挖掘方法和应用(经典).pdf-Machine Learning and Data Mining Methods and Applications (Classic). Pdf. . . . . . . .
RESEARCH_ON_KEY_TECHNOLOGIES_OF_THE_INFORMATION_EX
- 说明:主要集中在命名实体识别和实体关系抽取两个方面,将先进的机器学习算 法和全新的理论方法一全信息理论运用到我们的整个研究过程中。-Descr iption: The main focus on named entity recognition and entity extraction between the two aspects of advanced machine learning algorithms and new theoretical methods of informat
machineleaning
- 该文件中包含了机器学习的基本知识和代码,对初学者很有用-The document contains the basic knowledge of machine learning and code, very useful for beginners
machineleaningppt
- 该文件包含了机器学习的一些课件及代码,对初学者很有用-This file contains a number of machine learning courseware and the code is useful for beginners
Aod
- > 支持2000 xp 2003 vista win7 > 不在磁盘上产生任何临时文件 > 超优化的算法,在保护的情况下,操作硬盘,跟没有保护的情况下,速度一样, 不伤硬盘 > 模拟硬件还原卡工作原理,稳定快速 > 密码保护,用户登录后可以任意配置还原选项 > 支持只保护系统盘,和全盘保护, 支持多硬盘 > 保护MBR,加入防机器狗模块,用户可以手头关闭拦截第三方驱动的功能,比如用来完一些带驱动保护的游戏(以后改成白名单) &
matlab-ga
- 基本遗传算法的MATLAB语言源程序。(遗传算法的应用范围极其广泛,它可应用于函数优化、组合优化、生产调度问题、自动控制、机器人学、图像处理、人工生命、遗传编程以及机器学习等领域。)-Basic genetic algorithm matlb language sourc-e code. (Genetic algorithm extremely broad range of applications, it can be applied to function optimization, com
svm
- 支持向量机模型用于预测分析效果显著,它在解决小样本、非线性及高维模式识别中表现出许多特有的优势,并能够推广应用到函数拟合等其他机器学习问题中-Support vector machine model is used to predict significant effect in solving small sample, nonlinear and high dimensional pattern recognition exhibit many unique advantages, and
machine-learning-of-Chinese-Version
- 机器学习(Machine Learning)是一门多领域交叉学科,涉及概率论、统计学、逼近论、凸分析、算法复杂度理论等多门学科。专门研究计算机怎样模拟或实现人类的学习行为,以获取新的知识或技能,重新组织已有的知识结构使之不断改善自身的性能。它是人工智能的核心,是使计算机具有智能的根本途径,其应用遍及人工智能的各个领域,它主要使用归纳、综合而不是演绎。-machine learning is a cross course of many fields,simulate and implement
neural-machine-learning
- 神经网络机器学习第三版书籍源码,Final Program after-Chapters,非常好的自学资料-Neural network machine learning third edition book source, Final Program after-Chapters, a very good self-study materials
Standalone
- 机器学习强大的软件,集成的强大软件,可以用于分析数据。-Machine learning powerful software, integrated powerful software that can be used to analyze the data.
maxent
- 运用最大熵对一个文本中的类进行训练模型,然后可用模型进行预测,结果返回类名,是机器学习语言的重要部分,支持汉字分类-Use of maximum entropy of a text in class training model, the model can then be used to predict the results returned class name is an important part of machine learning languages, support for
libsvm-3.18
- libsvm.rar 为机器学习的开源库matlab语言-libsvm.rar open source library for machine learning matlab language
decision_trees
- 机器学习实战的决策树的代码,经过本来测试,而且将书中运行代码单独写了脚本代码,方便日后直接使用。-Machine learning tree code combat, after the original test, and will run the code alone wrote the book scr ipt code, to facilitate future direct use.
knn
- 机器学习实战-第二章源码-knn算法(kNN.py)-Machine Learning in Action-Ch2.-kNN
KNNpython
- python实现的k-近邻算法,用于数据分类。机器学习实战-k- nearest neighbor python implemented for data classification. Machine learning combat
mlclass-ex5
- 机器学习相关内容,基于matlab仿真,实现了线性回归分类器的功能-Files included in this exercise ex1.m- Octave scr ipt that will help step you through the exercise ex1 multi.m- Octave scr ipt for the later parts of the exercise ex1data1.txt- Dataset for linear regression wit
spark-logisticregression-and-softmax
- spark平台上的机器学习算法,包括分类、回归以及矩阵相乘的并行实现-Machine learning algorithms spark platforms, including classification, regression and parallel implementation of matrix multiplication