搜索：BIC
找到约 7 项符合「BIC」的查询结果
结果 7
https://www.eeworm.com/dl/646/246613.html
通讯编程文档
這一篇論文的標題為「適應性BIC-MIMO-OFDM系統的性能分析和接收器設計」是2007發表的
這一篇論文的標題為「適應性BIC-MIMO-OFDM系統的性能分析和接收器設計」是2007發表的
https://www.eeworm.com/dl/650/146383.html
人工智能/神经网络
基于模型聚类算法的matlab实现 This does the entire MB Clustering given a set of data. It only does the 4 basic
基于模型聚类算法的matlab实现
This does the entire MB Clustering given a set of data.
It only does the 4 basic models, unequal-unknown priors. It
returns the BESTMODEL based on the highest BIC.
https://www.eeworm.com/dl/518/142730.html
数值算法/人工智能
The Molgedey and Schuster decorrelation algorithm, having square mixing matrix and no noise . Trunca
The Molgedey and Schuster decorrelation algorithm, having square mixing matrix and no noise . Truncation is used for the time shifted matrix, and it is forced to be symmetric . The delay Tau is estimated .
The number of independent components are calculated using Bayes Informati ...
https://www.eeworm.com/dl/650/343494.html
人工智能/神经网络
he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood form
he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization.
The number of independent components a ...
https://www.eeworm.com/dl/929335.html
技术资料
高速TCP变种协议与DCCP协议的公平性研究
通过ns-2 仿真，测试4 种主流高速TCP 变种与DCCP 在不同网络环境下的公平性。仿真结果表明，在与DCCP 的公平性方面，4 个变种由优到劣依次为CUBIC, HS-TCP, BIC, STC
https://www.eeworm.com/dl/665/142729.html
matlab例程
ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to ali
ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical abstracts (MED dataset), that ...
https://www.eeworm.com/dl/650/176805.html
人工智能/神经网络
This demo nstrates the use of the reversible jump MCMC simulated annealing for neural networks. This
This demo nstrates the use of the reversible jump MCMC simulated annealing for neural networks. This algorithm enables us to maximise the joint posterior distribution of the network parameters and the number of basis function. It performs a global search in the joint space of the ...