登录
首页 » Python » HMM-homework

HMM-homework

于 2019-04-26 发布 文件大小:101KB
0 150
下载积分: 1 下载次数: 0

代码说明:

  隐马尔科夫实现,包含forward-hmm, Viterbi-hmm, Baum-Welch-hmm(Hidden Markov implementation, including forward-hmm, Viterbi-hmm, Baum-Welch-hmm)

文件列表:

HMM-homework\HMM-homework\Baum-Welch-hmm.py, 3909 , 2019-04-24
HMM-homework\HMM-homework\data.csv, 145 , 2019-04-24
HMM-homework\HMM-homework\forward-hmm.py, 1900 , 2019-04-22
HMM-homework\HMM-homework\ScreenShot\Baum-Welch-hmm.png, 15050 , 2019-04-24
HMM-homework\HMM-homework\ScreenShot\forward-hmm.png, 12628 , 2019-04-24
HMM-homework\HMM-homework\ScreenShot\Viterbi-hmm.png, 12293 , 2019-04-24
HMM-homework\HMM-homework\utils.py, 1133 , 2019-04-22
HMM-homework\HMM-homework\Viterbi-hmm.py, 2445 , 2019-04-22
HMM-homework\HMM-homework\瞎编的HMM作业数据.csv, 127 , 2019-04-22
HMM-homework\~$瞎编的HMM作业数据.xlsx, 165 , 2019-04-22
HMM-homework\参考仓库\Baum-Welch-HMM\hmm.py, 757 , 2019-04-23
HMM-homework\参考仓库\Baum-Welch-HMM\test.py, 2201 , 2019-04-23
HMM-homework\参考仓库\forward-backward-hmm-master\.gitignore, 17 , 2017-01-09
HMM-homework\参考仓库\forward-backward-hmm-master\Brown_sample.txt, 2984 , 2017-01-09
HMM-homework\参考仓库\forward-backward-hmm-master\forward-backward-hmm.py, 5626 , 2017-01-09
HMM-homework\参考仓库\forward-backward-hmm-master\prob_vector.pickle, 3475 , 2017-01-09
HMM-homework\参考仓库\forward-backward-hmm-master\README.md, 2442 , 2017-01-09
HMM-homework\参考仓库\forward-backward-hmm-master\simple.pickle, 600 , 2017-01-09
HMM-homework\参考仓库\Hidden-Markov-Model-master\Document.py, 369 , 2019-04-23
HMM-homework\参考仓库\Hidden-Markov-Model-master\EM.py, 4097 , 2017-11-14
HMM-homework\参考仓库\Hidden-Markov-Model-master\HMM.py, 7369 , 2017-11-14
HMM-homework\参考仓库\Hidden-Markov-Model-master\LICENSE, 35141 , 2017-11-14
HMM-homework\参考仓库\Hidden-Markov-Model-master\README.md, 608 , 2017-11-14
HMM-homework\参考仓库\Hidden-Markov-Model-master\Test.py, 1544 , 2017-11-14
HMM-homework\参考仓库\Hidden-Markov-Model-master\__pycache__\Document.cpython-36.pyc, 801 , 2019-04-23
HMM-homework\参考仓库\Hidden-Markov-Model-master\__pycache__\HMM.cpython-36.pyc, 8021 , 2019-04-23
HMM-homework\参考仓库\hidden-markov-model-master-by-aehuynh\hmm.py, 4675 , 2016-04-11
HMM-homework\参考仓库\hidden-markov-model-master-by-aehuynh\README.md, 100 , 2016-04-11
HMM-homework\参考仓库\UMDHMM-python-master-by-dkyang\hmm.py, 7216 , 2013-03-21
HMM-homework\参考仓库\UMDHMM-python-master-by-dkyang\README.md, 939 , 2013-03-21
HMM-homework\参考仓库\UMDHMM-python-master-by-dkyang\test.hmm, 136 , 2013-03-21
HMM-homework\参考仓库\UMDHMM-python-master-by-dkyang\test.seq, 35 , 2013-03-21
HMM-homework\参考仓库\UMDHMM-python-master-by-dkyang\test_hmm.py, 1039 , 2019-04-23
HMM-homework\瞎编的HMM作业数据.xlsx, 33715 , 2019-04-21
HMM-homework\参考仓库\Hidden-Markov-Model-master\__pycache__, 0 , 2019-04-23
HMM-homework\HMM-homework\ScreenShot, 0 , 2019-04-24
HMM-homework\参考仓库\Baum-Welch-HMM, 0 , 2019-04-23
HMM-homework\参考仓库\forward-backward-hmm-master, 0 , 2017-01-09
HMM-homework\参考仓库\Hidden-Markov-Model-master, 0 , 2019-04-23
HMM-homework\参考仓库\hidden-markov-model-master-by-aehuynh, 0 , 2016-04-11
HMM-homework\参考仓库\UMDHMM-python-master-by-dkyang, 0 , 2013-03-21
HMM-homework\HMM-homework, 0 , 2019-04-24
HMM-homework\参考仓库, 0 , 2019-04-23
HMM-homework, 0 , 2019-04-24

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • kasterenDataset
    主要针对行为识别,常用数据处理方法及分类,可视化 包含数据集(Mainly for behavior recognition, commonly used data processing methods and classification, visualization Contain data sets)
    2021-03-30 10:29:10下载
    积分:1
  • 文本分类(采用Java语言)
    资源描述利用分类算法实现对文本的数据挖掘,主要包括: 1. 语料库的构建,主要包括利用爬虫收集Web文档等; 2. 语料库的数据预处理,包括文档建模,如去噪,分词,建立数据字典, 使用词袋模型或主题模型表达文档等; 注:使用主题模型,如LDA可以获得实验加分; 3. 选择分类算法(如朴素贝叶斯、SVM等),训练文本分类器,理解所选 的分类算法的建模原理、实现过程和相关参数的含义; 4. 对测试集的文本进行分类 5. 对测试集的分类结果利用正确率和召回率进行分析评价。 
    2022-02-13 04:15:07下载
    积分:1
  • 98598152
    实现通用的matlab蚁群算法的c++源码 重复使用度高()
    2018-07-05 18:01:35下载
    积分:1
  • GWR4操作说明
    GWR能够实现地理加权回归计算,里面有GWR4操作说明,虽然是英文,但有图片介绍,很容易理解,是GWR模型入门的好工具,适合经济学、数据挖掘等人员使用(GWR can realize geographically weighted regression calculation, including GWR4 operation instructions. Although it is in English, it has pictures to introduce, and is easy to understand. It is a good tool for GWR model entry. It is suitable for personnel such as economics and data mining.)
    2018-03-16 17:17:11下载
    积分:1
  • OTL_AIJ_code
    基于matlab实现的一个在线迁移学习算法OTL,(Based on matlab to achieve an online migration learning algorithm OTL,)
    2020-10-28 21:29:57下载
    积分:1
  • QB模型 神经网络
    说明:  从数据库获取车辆在一段时间内的所有行驶记录的相关数据,确定所需数据为GPS经纬度坐标和驾驶时长等,QB模型采用MDF的思想,其基本思想为:通过平均直接翻转距离函数定义两条轨迹之间的距离,两条轨迹需要具有相同的经纬度点数,具有相同点数的轨迹最大的优点是对轨迹距离成对计算,且相同轨迹之间具有更高的分辨率,对于轨迹聚类的结果有一定的优化。(Retrieved from the database cars all over a period of time, record the related data, determine the required data for the GPS latitude and longitude coordinates, and the driving time, QB model by adopting the idea of MDF, its basic idea is: flip directly by the average distance function definition of the distance between two trajectories, two tracks will have the same latitude and longitude points, and has the biggest advantages of the same points of trajectory track distance calculation in pairs, and has higher resolution, between the same trajectory for trajectory clustering results have certain optimization.)
    2020-06-23 08:00:01下载
    积分:1
  • arima
    时间序列法,通过过去数据来建立相应模型来预测未来数据(Time series, using past data to establish corresponding models to predict future data)
    2018-03-08 22:01:43下载
    积分:1
  • KNN01
    说明:  用来作分类识别的KNN算法,非常好用非常好用(A very useful nearest neighbor algorithm)
    2020-08-03 19:28:41下载
    积分:1
  • WDMAP6
    bp网络实现认知无线电的检测和预测,从而达到了对频谱的分配(Bp network realizes the detection and prediction of cognitive radio, thus achieving the spectrum allocation.)
    2018-09-06 15:06:37下载
    积分:1
  • Python预处理
    Python数据预处理示例,包括数据清洗、数据整合、数据变换等操作。(Python data preprocessing examples, including data cleaning, data integration, data transformation and other operations.)
    2020-09-17 14:07:54下载
    积分:1
  • 696522资源总数
  • 104042会员总数
  • 18今日下载