搜索资源列表
UWB-channel-estimation-based-on-BCS
- 基于贝叶斯压缩感知的一种极宽带信道的估计-A compressed sensing based on Bayesian very broadband channel estimation
bayes
- 机器学习中关于贝叶斯公式和全概率公式的PPT讲解 很全面细致-Bayesian machine learning on the total probability formula and the formula is very comprehensive and detailed explanation of PPT
fault-diagnosis
- A Bayesian solution to the multiple composite hypothesis testing for fault diagnosis in dynamic systems
Bayesian--prediction-and-simulation
- 本项研究清楚的表明了叠前马科夫模型的垂向耦合对于岩性流体的影响-The study clearly demonstrates the impact of a vertucally coupled prior Markov model for the LF classes.
inversion-of-noisy-data
- 根据贝叶斯理论给出了对含噪声地球物理数据处理的具体流程-Based on Bayesian theory of parameter estmation,we present specific and detailed procedures to demonstrate hoe to inert noisy data in applied geophysics.
target-detection-in-sea-clutter
- 作者分析了海杂波的多普勒谱特性，给 出了两种基于多普勒谱特征的检测方法，应用联合瑞利概率密度函数描述海杂波 多普勒谱的统计特性和熵值方式表示多普勒谱的波形特性。 -As the present study on sea clutter are shown, based on the analysis of sea clutter Doppler spectrum characteristics, two target detection algorithms are propo
Fergus-Perona
- We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constellations of parts. A probabilistic representation is used for al
HGPS1
- A Permutation Genetic Algorithm for Variable Ordering in Learning Bayesian Networks from Data英文文献，遗传算法-A Permutation Genetic Algorithm for Variable Ordering in Learning Bayesian Networks from Data
ICA2171
- A Permutation Genetic Algorithm for Variable Ordering in Learning Bayesian Networks from Data英文文献，遗传算法
icccn04
- A Permutation Genetic Algorithm for Variable Ordering in Learning Bayesian Networks from Data英文文献，遗传算法
icda-7-6
- A Permutation Genetic Algorithm for Variable Ordering in Learning Bayesian Networks from Data英文文献，遗传算法
SUV_GAP_Paper
- A Permutation Genetic Algorithm for Variable Ordering in Learning Bayesian Networks from Data英文文献，遗传算法
takehisa-gecco2000
- A Permutation Genetic Algorithm for Variable Ordering in Learning Bayesian Networks from Data英文文献，遗传算法
DataMining3rd
- 评测数据在去掉停用词的 分类过程开放测试中,引入Good-Turing算法的分类性能比Laplace原则提高了3·05 ,比Lidstone方法提高 1·00 .而在交叉熵选择特征词的算法中,增加Good-Turing的贝叶斯分类方法可比最大熵分类性能高95 .通过这种数据平滑的算法,有助于克服因数据稀疏而引发的特征词缺失问题 -Evaluation data in the open test of the classification process to remove stop
Text-Classification-Using-Naive-Bayes
- This file details bayesian classification theorem in artificial intelligence
Training-an-Active-Random-Field-for-Real-Time
- Many computer vision problems can be formulated in a Bayesian framework based on Markov Random Fields (MRF) or Conditional Random Fields (CRF).
Training
- 容积卡尔曼滤波在神经网络中的应用，一篇很好的英文文献，值得参考-Nonlinear Bayesian Filters for Training Recurrent Neural Networks
01442188
- An Efficient Bayesian Algorithm for Joint Target Tracking and Classification，IEEE的论文， 有IEEE帐号的才能下载， 很珍贵-An Efficient Bayesian Algorithm for Joint Target Tracking and Classification
Hidden-Markov-model
- A hidden Markov model (HMM) is a statistical Markov model in which the system being modeled is assumed to be a Markov process with unobserved (hidden) states. An HMM can be considered as the simplest dynamic Bayesian network. The mathematics behind t
routingwirelessnetworksBayesiangame
- 挺好的无线传感器网络关于贝叶斯判决进行路由的文章。-Fine articles on Bayesian routing of wireless sensor networks.