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驱动编程 Pseudo Driver Test Demo BufferedIO
Pseudo Driver Test Demo BufferedIO
驱动编程 Pseudo Driver Test Demo Direct IO
Pseudo Driver Test Demo Direct IO
驱动编程 Pseudo Driver Test Demo I/O control
Pseudo Driver Test Demo I/O control
驱动编程 Pseudo Driver Test Demo ShareFiles Basic
Pseudo Driver Test Demo ShareFiles Basic
单片机开发 测试stc89C58单片机 测试stc89C58单片机 测试stc89C58单片机DEMO 程序
测试stc89C58单片机
测试stc89C58单片机
测试stc89C58单片机DEMO 程序
人工智能/神经网络 BOOSTING DEMO, A VERY USEFUL DEMO FOR ADABOOST
BOOSTING DEMO, A VERY USEFUL DEMO FOR ADABOOST
其他嵌入式/单片机内容 AT91SAM7S64 demo source code
AT91SAM7S64 demo source code
单片机开发 SUNPLUS(凌阳)GPC1XX demo程序
SUNPLUS(凌阳)GPC1XX demo程序,6502指令
人工智能/神经网络 n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional inde
n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ...
人工智能/神经网络 On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carl
On-Line MCMC Bayesian Model Selection
This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and deta ...