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Hidden_Markov_model_for_automatic_speech_recogniti
- Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner
sparse_decomposition
- 基于遗传算法改进的稀疏分解算法，已调试过了，写论文是编写的-Based on genetic algorithm to improve the sparse decomposition algorithm, has been testing and writing papers are prepared
em
- em算法是一种估计最优参数的方法 又名最大期望算法-em algorithm is a way to estimate the optimal parameters, also known as the greatest expectations algorithm
PQRbayes
- 从ML-EM 重建算法入手，分析了贝叶斯模型的一些关键点，针对采用传统方法求解MAP问题的局限性，提出一种用于正电子成像的贝叶斯神经网络重建算法，为了保留边缘信息，引入了二进制的保边缘变量，并应用共轭神经网络求解，模拟的重建结果表明，应用这种算法可以得到比ML-EM 算法更好的重建图像@-From the ML-EM reconstruction algorithm start with an analysis of Bayesian model some of the key points,
DM-and-ML
- 机器学习与数据挖掘入门必备，周志华文章 -Introduction to machine learning and data mining necessary, Zhou Zhihua article
ml-final84
- neural network neural network neural network
Classification-toolbox
- 通过降维处理，高维数据的分类一般可以转换为2维数据分类。此源码包含一个2维-2类数据分类工具箱。包括：ML，K-NN，SVM，LS，DB-Through the dimension reduction processing, high dimensional data classification commonly can convert to 2 d data classification. This source includes a 2 d-two kinds of data classi
Source-Localization-in-UWSAN
- 文章针对低信噪比下的水下目标定位问题，建立了水下无线传感器阵列网络，该结构包括多个分布式声传感器阵列，它适应于多模态信号处理，既可以利用目标的方位信息，又可以用能量信息。文中提出了用每个阵列接收到的信号能量作为参量完成目标定位并推导了基于能量的最大似然比目标定位方法。数值仿真表明：基于该结构的能量似然函数定位方法，可以有效估计目标的位置。并且比单阵元网络的定位性能和信息传输率上有了较大的提高， 尤其是在低信噪比下情况下，可以大大减小估计的方差。-With novel underwater wir
Untitled
- 手写体数字辨别,样本数据与训练数据均来自UCI 机器学习数据库网站：http://archive.ics.uci.edu/ml/datasets.html 采用BP多学习率算法-BP algorithm of neuro network
tempo-sat-tlp-gp
- SAT-TLP规划器是由ML这一通用的函数式编程语言开发出的最优化规划器，对于了解函数式语言在大型系统中的应用以及智能规划理论提供了很好的支持。-SAT-TLP planning is developed by ML generic functional programming language optimized planning, and provides good support for understanding the functional languages ̴
Q1
- 2类分类高斯模型 每个类是由一个单一的多元高斯分布的3-D建模 显示如何估计高斯均值向量和协方差矩阵的最大似然（ML）估计的基础上为每个类。 meanA和meanB代表每个类的均值，varA和varB的的代表每个类的协方差矩阵.-2-class classifier with Gaussian Models Each class is modelled by a single 3-D multivariate Gaussian distribution Show
MLLOC
- 通过挖掘类标间关系的多类标学习算法。ML-LOC is a package for multi-label learning by exploiting label correlations locally.-ML-LOC is a package for multi-label learning by exploiting label correlations locally.
finds
- 机器学习(Machine Learning, ML)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。-Implementation and optimization of find-s algorithm in machine lea
smo.tar
- This an implementation of SMO type classifier[1]. The input file is "i_x.mat" which is the matrix form of ionoshpere data obtained from https://archive.ics.uci.edu/ml/datasets.html [1] http://www.csie.ntu.edu.tw/~cjlin/papers/quadworkset.pdf-Thi
note-of-ml
- 斯坦福大学机器学习课程讲义，深入浅出、内容丰富-Stanford university machine learning course notes, simple and rich in content
Pattern-Recognition-And-ML
- 模式识别和机器学习书籍，用了还不错，可以推荐使用-Pattern recognition and machine learning books, with a pretty good
ML-Navie-Baye
- 相关机器学习，ML-Naive，R语言学习。-Related to machine learning, ML-Naive, R language learning.
ML-kNN
- 本程序实现了融合最近邻的ML-KNN算法（即IML-KNN），与KNN进行比较，分类效果更好。-This procedure to achieve the fusion of the nearest neighbor ML-KNN algorithm (ie IML-KNN), compared with KNN, better classification effect.
ml-startup-1
- 线型模型的学习资料 python源码，依赖sk-lean库实现(Linear model of learning materials Python source code, relying on sk-lean library implementation)
Spark
- 主要有介个ml模型，可以有ALS推荐，SVM 分类(There are mainly ml models, which can be classified by ALS and SVM.)