hugeng007_demo03_
2024-03-31 19:12:53
The first column | The second clumn |
---|---|
object | string type |
typedef |
typedef type newname; //use typedef to define a new type |
typedef |
typedef int feet; //use typedef to define a int type |
enumeration | enum color {red,green,blue} c; c = blue; |
enumeration | 列举 |
PCA | principal component analysis |
LDA | Linear Discriminant Analysis |
Discriminant | 判别 |
enum |
color_set1 {RED,BLUE,WHITE,BLACK}; //use enumeration to define color_set1 |
enum |
fruit_set{apple,orange,banana=1 ,peach,grape} //Enum constant apple = 0 ,orange = 1,banana = 1,peach = 2 |
enum |
week{Sun=7,Mon=1,Tue ,Wed ,Thu,Fri , Sat} //The value of the enumeration constants Sun,Mon,Tue and so on are 7,1,2,3,4,5 and 6, respectively |
iterable | 迭代 |
enumeration variable | |
L = {'Google' , 'Runoob' , 'Taobao'} |
L[2] ['Taobao']#read the third element in the list |
L = {'Google' , 'Runoob' , 'Taobao'} |
L[-2] ['Runoob']#read the penultimate element in the list |
L = {'Google' , 'Runoob' , 'Taobao'} |
L[1:] ['Runoob','Taobao']#start the list from the second element |
noob | 菜鸟,由newbie衍生而来 |
penultimate | 倒数第二个的 |
[:-1] |
Represents traversing from the first element to the second to last element |
[-5:] | Interception from the fifth countdown |
str[:-3] | start left to third last (excluding third) |
Interception | 截取 |
counter | 计数器 |
principal component analysis | PCA 主成分分析 |
component | 成分 |
ICP |
Iterative Closest Point (ICP) 迭代最近点算法 is an slgorithm employed to minimize the difference between two clouds of points |
Iterative | 迭代 |
SVD | singular value decomposition |
Performance of SGD optimization methods on
loss surface
Performance of SGD optimization methods
at the saddle point of the loss surface
The first column | The second clumn |
---|---|
object | string type |
typedef | typedef type newname; //use typedef to define a new type |
typedef | typedef int feet; //use typedef to define a int type |
enumeration | enum color {red,green,blue} c; c = blue; |
enumeration | 列举 |
PCA | principal component analysis |
LDA | Linear Discriminant Analysis |
Discriminant | 判别 |
enum |
color_set1 {RED,BLUE,WHITE,BLACK}; //use enumeration to define color_set1 |
enum |
fruit_set{apple,orange,banana=1 ,peach,grape} //Enum constant apple = 0 ,orange = 1,banana = 1,peach = 2 |
enum |
week{Sun=7,Mon=1,Tue ,Wed ,Thu,Fri , Sat} //The value of the enumeration constants Sun,Mon,Tue and so on are 7,1,2,3,4,5 and 6, respectively |
iterable | 迭代 |
enumeration variable | |
L = {'Google' , 'Runoob' , 'Taobao'} |
L[2] ['Taobao'] #read the third element in the list |
L = {'Google' , 'Runoob' , 'Taobao'} |
L[-2] ['Runoob'] #read the penultimate element in the list |
L = {'Google' , 'Runoob' , 'Taobao'} |
L[1:] ['Runoob','Taobao'] #start the list from the second element |
noob | 菜鸟,由newbie衍生而来 |
penultimate | 倒数第二个的 |
[:-1] |
Represents traversing from the first element to the second to last element |
[-5:] | Interception from the fifth countdown |
str[:-3] | start left to third last (excluding third) |
Interception | 截取 |
counter | 计数器 |
principal component analysis | PCA 主成分分析 |
component | 成分 |
ICP |
Iterative Closest Point (ICP) 迭代最近点算法 is an slgorithm employed to minimize the difference between two clouds of points |
Iterative | 迭代 |
SVD | singular value decomposition |
RBF | Radial Basis Function |
PCA | Signal representation (principal component analysis) |
LDA | Supervised dimensionality reduction method |
PCA | PCA is unsupervised dimensionality reduction method |
LDA | (Latent Dirichlet Allocation) classification |
Rayleigh quotient | 瑞丽商 |
genralized Rayleigh quotient | 广义瑞丽商 |
Fisher 判别准则函数 | |
拉普拉斯矩阵 | |
laplace matrix | |
positive define matrix | 就是一个椭球 |
Aaxil elligsoid :eigenvector | |
Aaxil | |
elligsoid | |
eigenvector | 特征向量 |
det | determinant 行列式 |
lower triangular | 下三角矩阵 |
upper triangular | 上三角矩阵 |
K-Nearest Neighbor algorithm | KNN algorithm |
KNN |
given a data set,For new input instances,Find the instances closest to the instance in the traning data set(that is,the K neighbor mentioned above) |
切比雪夫距离 | \(D_Chebyshev(p,q):= max_i(||p_i - q_i||)\) |
矩阵的共轭 | |
Hessian Matrix | 海塞矩阵 |
Semi-positive definite matrix | all eigenvalues are not less than zero |
positive definite matrix | all eigenvalues are greater than zero |
s | \(A = {a_{i,i}} \in C^{n \times n}\) |
Fisher Discrimination criterion | 费舍尔判别准则 |
类均值向量 | m_i= \frac{1}{N_i} |
positive define matrix | the transmission to the positive |
typedef | char line[81];char text[81];//typedef char line[81];line text,secondline; |
typedef | typedef char pstr;pstr str= 'abc';int mystrcmp(pstr,pstr) |
diagonal | 斜线,对角线 |
Laplacian matrix | |
unitary linear space | 酉空间 |
stochastic | 随机的 |
Adam | [TensorFlow: learning_rate=0.001,beta1 = 0.9,beta2 = 0.999,epsilon=1e-8] |
epsilon | tf.keras.backend.epsilon |
epsilon | Returns the value of the fuzz factor used in numeric expressions |
fuzz factor | 模糊因子 |
32-bit compiler | char:1 byte(8 bit) ; char*:4 bytes(https://www.cnblogs.com/lovevivi/p/3334369.html) |
https | Hyper Text Transfer Protocol Secure |
PCA | PCA that is dimensionalisy reduction opration is to find a new coordinate system. |
PCA | Then subtract some of the dimensions to make the error small |
postfix | 后缀,reverse Polish notation |
stack | stack is list that restrict |
top | it is the bottom of the list |
pop | |
The first column | The second clumn |
:-: | :-: |
object | string type |
typedef | typedef type newname; //use typedef to define a new type |
typedef | typedef int feet; //use typedef to define a int type |
enumeration | enum color {red,green,blue} c; c = blue; |
enumeration | 列举 |
PCA | principal component analysis |
LDA | Linear Discriminant Analysis |
Discriminant | 判别 |
enum | color_set1 {RED,BLUE,WHITE,BLACK}; //use enumeration to define color_set1 |
enum | fruit_set{apple,orange,banana=1 ,peach,grape} //Enum constant apple = 0 ,orange = 1,banana = 1,peach = 2 |
enum |
week{Sun=7,Mon=1,Tue ,Wed ,Thu,Fri , Sat} //The value of the enumeration constants Sun,Mon,Tue and so on are 7,1,2,3,4,5 and 6, respectively |
iterable | 迭代 |
enumeration variable | |
L = {'Google' , 'Runoob' , 'Taobao'} |
L[2] ['Taobao'] #read the third element in the list |
L = {'Google' , 'Runoob' , 'Taobao'} |
L[-2] ['Runoob'] #read the penultimate element in the list |
L = {'Google' , 'Runoob' , 'Taobao'} |
L[1:] ['Runoob','Taobao'] #start the list from the second element |
noob | 菜鸟,由newbie衍生而来 |
penultimate | 倒数第二个的 |
[:-1] | Represents traversing from the first element to the second to last element |
[-5:] | Interception from the fifth countdown |
str[:-3] | start left to third last (excluding third) |
Interception | 截取 |
counter | 计数器 |
principal component analysis | PCA 主成分分析 |
component | 成分 |
ICP |
Iterative Closest Point (ICP) 迭代最近点算法 is an slgorithm employed to minimize the difference between two clouds of points |
Iterative | 迭代 |
SVD | singular value decomposition |
RBF | Radial Basis Function |
PCA | Signal representation (principal component analysis) |
LDA | Supervised dimensionality reduction method |
PCA | PCA is unsupervised dimensionality reduction method |
LDA | (Latent Dirichlet Allocation) classification |
Rayleigh quotient | 瑞丽商 |
genralized Rayleigh quotient | 广义瑞丽商 |
Fisher 判别准则函数 | |
拉普拉斯矩阵 | |
laplace matrix | |
positive define matrix | 就是一个椭球 |
Aaxil elligsoid :eigenvector | |
Aaxil | |
elligsoid | |
eigenvector | 特征向量 |
det | determinant 行列式 |
lower triangular | 下三角矩阵 |
upper triangular | 上三角矩阵 |
K-Nearest Neighbor algorithm | KNN algorithm |
KNN |
given a data set,For new input instances,Find the instances closest to the instance in the traning data set(that is,the K neighbor mentioned above) |
切比雪夫距离 | \(D_Chebyshev(p,q):= max_i(||p_i - q_i||)\) |
矩阵的共轭 | |
Hessian Matrix | 海塞矩阵 |
Semi-positive definite matrix | all eigenvalues are not less than zero |
positive definite matrix | all eigenvalues are greater than zero |
s | \(A = {a_{i,i}} \in C^{n \times n}\) |
Fisher Discrimination criterion | 费舍尔判别准则 |
类均值向量 | m_i= \frac{1}{N_i} |
positive define matrix | the transmission to the positive |
typedef | char line[81];char text[81];//typedef char line[81];line text,secondline; |
typedef | typedef char pstr;pstr str= 'abc';int mystrcmp(pstr,pstr) |
diagonal | 斜线,对角线 |
Laplacian matrix | |
unitary linear space | 酉空间 |
stochastic | 随机的 |
Adam |
[TensorFlow: learning_rate=0.001,beta1 = 0.9, beta2 = 0.999,epsilon=1e-8] |
epsilon | tf.keras.backend.epsilon |
epsilon |
Returns the value of the fuzz factor used in numeric expressions |
fuzz factor | 模糊因子 |
32-bit compiler | char:1 byte(8 bit) ; char*:4 bytes(https://www.cnblogs.com/lovevivi/p/3334369.html) |
https | Hyper Text Transfer Protocol Secure |
PCA | PCA that is dimensionalisy reduction opration is to find a new coordinate system. |
PCA | Then subtract some of the dimensions to make the error small |
z+c | 折叠 |
z+o | 折叠 |
O(log_2(N^2)) | 幂函数,以2为底,数据每次减少一半 |
子空间的交 | |
Bayesian Decision Theory | Quantifies the tradoffs between various classification |
using sea bass - salmon classification | |
likelihood |
how frequently we will measure a pattern with feature value x given that the pattern belongs to class \(w_j\) |
类条件概率 | \(P(x|W_j)\) |
(post)后验概率 | \(P(w_j|x)\) |
guassian function | p(x) = \(frac{1}{}\) |
\quad | 退一格 |
\qquad | 退两格 |
Prior (UnconditionalOo Probability | |
Cavity |
P(Cavity) = 0.1 means that " in the absence of any other information, there is a 10% chance that the patient is having a cavity". |
cavity | 蛀牙 |
P(A | B) = P(A,B)/P(B) |
P(B) = \(\sum\limits_{j=1}^{n}P(B|A_j)P(A_j)\) | |
Bayes | |
probability density function | |
pmf | probability mass function |
df | degree of freedom |
类条件概率密度函数 | P(X |
条件风险 | |
conditional risk | R = |
product operator | 乘积运算符 |
product operator | \(\prod\) |
integral operator | 积分运算符 |
integral operator | \(\int\) |
EM algorithm | Expectation Maximization 期望值最大 |
P(A |
B) =\(\frac{P(A,B)}{P(B)}\) = $frac{P(B |
Directed Acyclic Graph | DAG 有向无环图,一个贝叶斯网络是一个有向无环图 |
acyclic | 无环 |
举个栗子 | P(Added vinegar |
P(A | B) = \(\frac{P(A,B)}P(B)}\) |
P(AB)P(B) = P(B | A)P(A) |
P(A | B)P(B) = P(B |
P(AB) | P(reason one leads to the result |
P(reason one | result) = $\frac P(reason one cause the result)}{P(result)} |
vinegar | 醋 |
平方根 | \sqrt{x+y} |
square root | 平方根 |
Bayesian Decision Theory | |
P(A | B) = \(\frac{P(A,B)}{P(B)}\) |
P(B | A) |
Bayes | Bayesian Notation |
Decision Surface | 决策面 |
Discriminant Function | 判别方程 |
Quadratic Discriminant Analysis | QDA |
P(reason one | result) |
linked list | |
collection | |
ADT | |
int size() const | |
const | |
int const size; | |
const int size; | |
int const size = 10; | |
LinearList | |
#ifndef | if not defined |
#define x | |
#endif | |
#ifndef | |
线性映射的矩阵表示 | |
int *const p; //the meaning is that const point, the value of p can not modify |
P is a pointer,pointer p is const, it's value can not modify, but can modify the integral value to which the p point |
const int p; int const p; //it's meaning is pointer pointed to const, the const value of pointer can not modify. |
If const is on the left side of * ,const is used to modify the variable pointed to by the pointer,that is, the pointer points to the bit constant; |
NLP | natural Language Processing |
int *const p;//it's meaning is const pointer, the value of p can not modify |
If const is on the right side of *, const is the decoration of the pointer itself, and the pointer itself is a constant. |
int b = 5;int c = 3;int const p = &b; p = 6; | //it is right to modify the value pointer point to, |
SVM | Support Vector Machine |
ApacheCN-apchecn.org | |
coursera | |
子空间的直和 | |
矩阵的值域 | \(R(A) = L(\mathbf{a}_1,\cdots,\mathbf{a}_n = \lbrace A\mathbf{x} \ \|\ \mathbf{x}\in \mathbb{R}^n \rbrace\) |
\mathbb | Blackboardbold 黑板粗体,表示向量或集合的符号 |
\mathbf | 变为粗体 |
转载于:https://www.cnblogs.com/hugeng007/p/9645747.html
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