Linear Least Squares: Interior-Point or Active-Set The lsqlin 'interior-point' algorithm uses the interior-point-convex quadprog Algorithm, and the lsqlin 'active-set' algorithm uses the active-set quadprog algorithm. The quadprog problem definition is to minimize a quadratic function minx12xTHx+cT...
This paper presents an order recursive multistage least squares(MSLS) algorithm based on an efficient order recursive procedure to compute the LS estimates of the parameters.The algorithm gives asymptotically unbiased and consistent ARMA parameter estimates in noisy processes just as the ordinary MSLS ...
3) Least Square-Constant Modulus Algorithm 最小二乘恒模算法(LS-CMA)4) Least squares method 最小二乘法 1. Virtual boundary element least squares method for solving elastic coupling problem of different materials; 不同材料契合弹性力学问题的虚边界元最小二乘法 2. Application to harmonics ...
least′ squares′ n. a statistical method of estimating values from a set of observations by minimizing the sum of the squares of the differences between the observations and the values to be found. Also calledleast′-squares′ meth`od. ...
In this paper we present state-space recursive least-squares (SSRLS) filter. This algorithm is a new addition to the family of RLS filters. We cover core topics like batch processing, recursive updates, initialization and steady state solution, etc. SSRLS is very well-suited to estimate a wid...
2) LS 最小平方算法3) SROSL 自适应正交最小方差算法 1. This method, by using of SROSL, eliminates the effect caused by relativity between samples, thus makes on-line training algorithm of RBF neural network be of greater operability. 采用自适应正交最小方差算法,从根本上消除样本间相关性...
3) QRD LS algorithm QR分解最小二乘法4) least square QR factorization 最小二乘QR矩阵分解算法5) Inverse QR-Decomposition Recursive Least Squares Algorithm 逆QR分解递推最小二乘算法6) least squares solution 最小二乘解 1. An iterative method for the least squares solutions of a pair of ...
Least-squares means (LS means for short) for a linear model are simply predictions—or averages thereof—over a regular grid of predictor settings which I call thereference grid. In fact, even when I read this sentence, I was still very confused. What's the reference grid, and how to ...
机器学习:最小二乘支持向量机(Least Squares Support Vector Machine) 参考文献 《A Novel Method for Energy Consumption Prediction of Underwater Gliders Using Optimal LSSVM with PSO Algorithm》 一、最小二乘支持向量机(LSSVM) LSSVM是Suyke...
那么 LSGAN 就想通过修改计算 loss 的公式,将 sigmoid 替换成 least squares. 下面第一张有 log 的图是 sigmoid 方式, 而下面第二张没有 log 计算,取而代之的是利用方差的模式,也就是 MeanSquaredError 的计算公式了。这样,能传递回去的梯度就大很多了,理想情况下, 更新GAN的效果也会好很多。