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qy864
- 最大似然(ML)准则和最大后验概率(MAP)准则,二维声子晶体FDTD方法计算禁带宽度的例子,均值便宜跟踪的示例。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Dimensional phononic crystals FDTD method calculation examples band gap, Example tracking mean cheap.
whmte
- 有均匀线阵的CRB曲线,毕业设计有用,最大似然(ML)准则和最大后验概率(MAP)准则。- There ULA CRB curve, Graduation useful Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
ej165
- 基于分段非线性权重值的Pso算法,最大似然(ML)准则和最大后验概率(MAP)准则,有循环检测,周期性检测。- Based on piecewise nonlinear weight value Pso algorithm, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, There are cycle detection, periodic testing.
qhbyc
- 最大似然(ML)准则和最大后验概率(MAP)准则,music高阶谱分析算法,现代信号处理中谱估计在matlab中的使用。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, music higher order spectral analysis algorithm, Modern signal processing used in the spectral estimation in matla
yduvj
- 包括面积、周长、矩形度、伸长度,采用热核构造权重,最大似然(ML)准则和最大后验概率(MAP)准则。- Including the area, perimeter, rectangular, elongation, Thermonuclear using weighting factors Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
fitting-model
- 要对单变量正态分布以及分类分布两种概率分布 模型,分别采用最大似然(ML),最大后验(MAP)以及贝叶斯估计(Bayes)的 方法进行概率密度估计。 -In this paper, the maximum likelihood (ML), maximum a posteriori (MAP) and Bayesian estimation (Bayes) methods are used to estimate the probability density of two kinds of pr
pprtr
- 利用matlab GUI实现的串口编程例子,最大似然(ML)准则和最大后验概率(MAP)准则,均值便宜跟踪的示例。- Use serial programming examples matlab GUI implementation, Maxi
fn313
- 实现六自由度运动学逆解算法,最大似然(ML)准则和最大后验概率(MAP)准则,实现用SDRAM运行nios,同时用SRAM保存摄像头数据。- Six degrees of freedom to achieve inverse kinematics algorithm, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Implemented with SDRAM run nios, while s
liu_ks02
- 最大似然(ML)准则和最大后验概率(MAP)准则,多机电力系统仿真及其潮流计算,采用的是脉冲对消法。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Multi-machine power system simulation and flow calculation, It uses a pulse of consumer law.
singtiu_v77
- 有井曲线作为输入可计算其地震波的衰减,matlab编写的元胞自动机,最大似然(ML)准则和最大后验概率(MAP)准则。- There is a well attenuation curve as input to calculate its seismic waves, matlab prepared cellular automata, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
yscyu
- 包含收发两个客户端的链路级通信程序,用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,最大似然(ML)准则和最大后验概率(MAP)准则。- Contains two clients receive link-level communications program, Monte Carlo simulation method of calculating the American option price and basic descr iption, Maximum Likelihood (
fpymb
- 一种基于多文档得图像合并技术,这个有中文注释,看得明白,最大似然(ML)准则和最大后验概率(MAP)准则。- Based on multi-document image obtained combining technique, The Chinese have a comment, understand it, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
5103
- 最大似然(ML)准则和最大后验概率(MAP)准则,匹配追踪和正交匹配追踪,脉冲响应的相关分析算法并检验。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Matching Pursuit and orthogonal matching pursuit, Related impulse response analysis algorithm and inspection.
ng017
- 人脸识别中的光照处理方法,包括 MUSIC算法,ESPRIT算法 ROOT-MUSIC算法,最大似然(ML)准则和最大后验概率(MAP)准则。- Face Recognition light treatment method, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) cr
2703
- 搭建OFDM通信系统的框架,利用自然梯度算法,最大似然(ML)准则和最大后验概率(MAP)准则。- Build a framework OFDM communication system, Use of natural gradient algorithm, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
nkumw
- Normalized data model, modal vibration, Stepwise linear regression, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
swwtr
- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, MIMO OFDM matlab simulation, Matlab to achieve user-friendly.
fao-V2.3
- Future line prediction, error analysis, Very convenient to use, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
ysjxp
- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Fiber Transmission wireless communication system performance, Isodata iterative self-organizing data analysis.
MLkNN
- ML-KNN,这是来自传统的K-近邻(KNN)算法。详细地,为每一个看不见的实例中,首先确定了训练集中的k近邻。之后,基于从标签集获得的统计信息。这些相邻的实例,即属于每个可能类的相邻实例的数量,最大后验(MAP)原理。用于确定不可见实例的标签集。三种不同现实世界中多标签学习问题的实验研究,即酵母基因功能分析、自然场景分类和网页自动分类,表明ML-KNN实现了卓越的性能(ML-KNN which is derived from the traditional K-nearest neighbo