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Bayesian衰退和分类模形
- 这个软件支持Bayesian衰退和分类模形，它基于神经系统网络和Gaussian作用。它也包括一些根本的程序实现有限和无限混合的模型。-software support this recession and Bayesian classification pattern, It is based on neural network and Gaussian role. It also includes some of the proce
Bayesian%20Networks
- 贝叶斯学习的指导，通过它可以了解该数据挖掘的方法-Bayesian learning guide, which can understand the data mining method
Bayesian
- 这是一篇关于贝叶斯探测方面的博士论文，英文的，看一下，也许对你有帮助-This is a Bayesian detection of the doctoral thesis in English, read it, perhaps to help you
Bayesian.Classifier
- 贝叶斯分类实验 模式识别课程实验所用的源程序-Bayesian classifier experimental pattern recognition programs used in the experimental program
RECURSIVE BAYESIAN INFERENCE ON
This thesis is concerned with recursive Bayesian estimation of non-linear dynamical
systems, which can be modeled as discretely observed stochastic differential
equations. The recursive real-time estimat
Bayesian-machine-learn-data
- Bayesian-machine-learn-data for robot
Di
- 贝叶斯bayes算法分类器诊断程序-Bayesian classifier diagnostic procedures
task description & data for assignment 2
- 利用贝叶斯算法实现的分类器-algorithm using Bayesian classifier
SolutionPR
- 模式识别_贝叶斯分类器-pattern recognition _ Bayesian classifier
Apriori
- 贝叶思网络分类规则例程-Bayesian Network Classification Rule tutorial
NavieBayesianClassifier[xtulbd,050228]
- 朴素贝叶斯分类器（Navie Bayesian Classifier）识别鼠标输入的字母A～J-Naive Bayesian classifier (Navie Bayesian Classifier) Identification of the mouse input letters A-J
模式识别_贝叶斯分_类器
- 一个用来做模式识别的贝叶斯分类器-used as a pattern recognition Bayesian classifier
FullBNT
- 贝叶斯算法(matlab编写) 安装,添加目录 /home/ai2/murphyk/matlab/FullBNT-Bayesian algorithm (Matlab preparation) installed, add directory/home/ai2/murphyk/matlab/FullBNT
贝叶斯网络的因果推理关系
- 人工智能实验§贝叶斯网络的因果推理关系§ 熟悉掌握Bayes定理，学习贝叶斯网络的因果推理-artificial intelligence experiments Bayesian network causal reasoning relations mastery Bayes Theorem, learning Bayesian network causal reasoning
icaML
- This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise [1]. The inference problem is solved by ML-II, i.e. the sources are found by integration over the source posterior and
newpnn[1]
- 基于GMM的概率神经网络PNN具有良好的泛化能力，快速的学习能力，易于在线更新,并具有统计学的贝叶斯估计理论基础，已成为一种解决像说话人识别、文字识别、医疗图像识别、卫星云图识别等许多实际困难分类问题的很有效的工具。而且PNN不但具有GMM的大部分优点，还具有许多GMM没有的优点，如强鲁棒性，需要更少的训练语料，可以和其他网络其他理论无缝整合等。-GMM based probabilistic neural network PNN go
Bayesian
- 贝叶斯分类亲，功能强大，适合于人工智能研究与应用-Bayesian classification pro, powerful, welcome to download the Blessings
A-Bayesian-Approach
- In this paper, we propose a Bayesian methodology for receiver function analysis, a key tool in determining the deep structure of the Earth’s crust.We exploit the assumption of sparsity for receiver functions to dev
bayesian-matting
- 基于贝叶斯的抠像算法，通过一个最大似然的标准去估计透明度-A Bayesian Approach to Digital Matting，uses a maximum-likelihood criterion to estimate the optimal opacity
Bayesian and HSMM
- 贝叶斯HSMM 主要是改进HMM存在状态保持时间的局限性，引入了持续时间的函数显式表达，用贝叶斯概率估计((Bayesian and HSMM was mainly to improve HMM state of existence to maintain the limitations of time, the introduction of an explicit function of the duration of expres