Vector Space: R1, R2, R3,R4 , .... Each space Rn consists of a whole collection of vectors. R5 contains all column vectors with five components. This is called "5-dimensional space". The great thing about linear algebra is that it deals easily w…
Matrix and Determinant Let C be an M × N matrix with real-valued entries, i.e. C={cij}mxn Determinant is a value that can be computed from the elements of a square matrix. The determinant of a matrix A is denoted det(A), det A, or |A|. In the case of…
第一阶段技法: large margin (the relationship between large marin and regularization), hard-SVM,soft-SVM,dual problem(解对偶问题),kernel trick,kernel logistic regression, 主要思路是:(这里不区分线性与非线性,差别只是特征空间转换,X空间与Z空间的关系) 1. 从PLA出发,对于二维平面的二分类问题,PLA可能得出一堆能够正确分类的直线,但是哪一条直线…
导语:其他集数可在[线性代数]标籤文章找到.线性子空间是一个大课题,这里先提供一个简单的入门,承接先前关于矩阵代数的讨论,期待与你的交流. Overview: Subspace definition In a vector space of Rn, sets of vectors spanning a volume EQUAL TO OR SMALLER THAN that of Rn form subspaces of that vector space of Rn. A subset H o…
Why are very few schools involved in deep learning research? Why are they still hooked on to Bayesian methods? First, this question assumes that every university should have a "deep learning" person. Deep learning is mostly used in vision (and…
