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人工智能/神经网络 把 sequential 有导师学习问题转化为传统的有导师学习问题
把 sequential 有导师学习问题转化为传统的有导师学习问题，是weka机器学习系统（本站可下载）的一个拓展
其他 文本数据库的实现源码,包括Sequential,Index,Random 三种存取方式
文本数据库的实现源码,包括Sequential,Index,Random 三种存取方式
电子书籍 Sequential Minimal Optimization for SVM 配C++源码
Sequential Minimal Optimization for SVM
配C++源码
人工智能/神经网络 ReBEL is a Matlabtoolkit of functions and scripts, designed to facilitate sequential Bayesian infer
ReBEL is a Matlabtoolkit of functions and scripts, designed to
facilitate sequential Bayesian inference (estimation) in general state
space models. This software consolidates research on new methods for
recursive Bayesian estimation and Kalman filtering by Rudolph van der
Merwe and Eric A. Wan. The ...
其他 Stack-based sequential decoder for M-QAM modulated MIMO-type problems, i.e., of fixed tree depth.
Stack-based sequential decoder for M-QAM modulated MIMO-type problems, i.e., of fixed tree depth.
文件格式 In this article, we present an overview of methods for sequential simulation from posterior distribu
In this article, we present an overview of methods for sequential simulation from posterior distributions.
These methods are of particular interest in Bayesian filtering for discrete time dynamic models
that are typically nonlinear and non-Gaussian. A general importance sampling framework is develop ...
文件格式 The need for accurate monitoring and analysis of sequential data arises in many scientic, industria
The need for accurate monitoring and analysis of sequential data arises in many scientic, industrial
and nancial problems. Although the Kalman lter is effective in the linear-Gaussian
case, new methods of dealing with sequential data are required with non-standard models.
Recently, there has been re ...
文章/文档 Particle Filtering for Sequential Spacecraft Attitude Estimation 卫星姿态估计的另外一种粒子滤波的介绍
Particle Filtering for Sequential Spacecraft Attitude Estimation
卫星姿态估计的另外一种粒子滤波的介绍
matlab例程 自己编的matlab程序。用于模式识别中特征的提取。是特征提取中的Sequential Forward Selection方法
自己编的matlab程序。用于模式识别中特征的提取。是特征提取中的Sequential Forward Selection方法，简称sfs.它可以结合Maximum-Likelihood-Classifier分类器进行使用。
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 ...