By designing a new optimization objective and solving it, we combine the idea of ICA with principle of MI in an individual algorithm. From the perspective of event-related desynchronization and synchronization (
),被称为聚类算法(a culstering algorithm),应用广泛例如谷歌新闻将相同的新闻组合成一个新闻专题、社交网络分析给你的好友自动分组。 聚类算法是无监督学习的一种。 看一下鸡尾酒宴会...程序上万次的自我练习的经验而任务T 就是下棋。性能度量值P呢,就是它在与一些新的对手比赛时,赢得比赛的概率。 1.2监督学习...
独立成分分析ICA(Independent Component Correlation Algorithm)是一种函数,X为n维观测信号矢量,S为独立的m(m<=n)维未知源信号矢量,矩阵A被称为混合矩阵。ICA的目的就是寻找解混矩阵W(A的逆矩阵),然后对X进行线性变换,得到输出向量U。 这里使用最大似然估计来解释算法,我们假定每个 s i s_i si有概率密度 p...
Evaluation of A (mixing matrix) and S (independent components) is done by the independent component analysis algorithm. However, ICA can determine the demixing matrix W from the data matrix, which helps us to estimate the reconstruction matrix S^. It is given by (2)S^=WX When n=q, ...
[3]Hyvärinen A, Oja E. A fast fixed-point algorithm for independent component analysis[J]. Neural computation, 1997, 9(7): 1483-1492. [4]王刚. 基于最大非高斯估计的独立分量分析理论研究 [D][D]. 国防科学技术大学, 2005.
独立成分分析 ICA(Independent Component Correlation Algorithm)是一种函数,X为n维观测信号矢量,S为独立的m(m<=n)维未知源信号矢量,矩阵A被称为混合矩阵。ICA的目的就是寻找解混矩阵W(A的逆矩阵),然后对X进行线性变换,得到输出向量U。 此公式代表一个假设前提:每个人发出的声音信号各自独立。
A crucial problem for on-line independent component analysis (ICA) algorithm is the choice of step-size, which reflects a tradeoff between steady-state error and convergence speed. This paper proposes a novel ICA algorithm for sub-Gaussian sources, which converges fast while maintaining low steady...
An efficient algorithm is proposed, which allows the computation of the ICA of a data matrix within a polynomial time. The concept of ICA may actually be seen as an extension of the principal component analysis (PCA), which can only impose independence up to the second order and, ...
The algorithm we describe is due to Bell and Sejnowski, and the interpretation we give will be of their algorithm as a method for maximum likelihood estimation. 仍然是用最大似然来求解这个问题, Joint distribution为,假设sources 之间都是独立的 ...
The aim of this study was to analyze the application value of functional magnetic resonance imaging (FMRI) optimized by the fast independent component correlation algorithm (ICA algorithm) in the diagnosis of brain functional areas in patients with lumbar disc herniation (LDH). An optimized fast ICA...