The Bayesian Information Criterion (Comparison with VBM)
The Bayesian Information Criterion (BIC) is a measure used for statistical model selection. It helps to determine which model is…
Signalprocessing
kevin-tofu Ridge Regression
About Ridge regression is a linear regression method that estimates weight parameters based on a nonlinear function basis. Note that…
Pick up a sample from Multivariate Gaussian Distribution
About Pick up a sample from Multi-Variant Gaussian Distribution is sometimes important for applications like Gaussian Process. Multivariate Gaussian Distribution…
Cholesky and QR Decomposition
Cholesky Decomposition A positive definite Hermite matrix is decompose to lower triangular matrix L and its conjugate transpose matrix L*.…
Special Unitary Group SU(n)
About Special Unitary Group of degree (n) SU(n) refers to the n-dimensional case of the special unitary group, which plays…
Parameter-Shift Rule
About To optimize parameters, estimating gradients is quite important. Since the optimization is highly depending on gradient descent methods. In…
Rxx Gate in Quantum Computing
What is it? The gate is a quantum gate used in quantum computing to implement a common rotation around the…
Spectral Clustring using Lapracian Matrix
What is Laplacian Matrix? The Laplacian matrix is a matrix in graph theory that represents the connection relationships between the…
Hyperdimensional Computing
About I am paying attention to this technology because there are increasing opportunities to manipulate and utilize features, namely embedding…
Note : General Solution of Homogeneous Equation
Homogeneous Equation The general form of homogeneous equation is written as If the matrix a is represented as N x…