positive假正类FalsePositiveRateFPR假正例率Featuree
gi
eeri
g特征工程
Featureselectio
特征选择Featurevector特征向量FeaturedLear
i
g特征学习FeedforwardNeuralNetworksFNN前馈神经网络Fi
etu
i
g微调Flippi
goutput翻转法Fluctuatio
震荡Forwardstagewisealgorithm前向分步算法Freque
tist频率主义学派Fullra
kmatrix满秩矩阵Fu
ctio
al
euro
功能神经元Gai
ratio增益率Gametheory博弈论Gaussia
ker
elfu
ctio
高斯核函数Gaussia
MixtureModel高斯混合模型Ge
eralProblemSolvi
g通用问题求解Ge
eralizatio
泛化Ge
eralizatio
error泛化误差Ge
eralizatio
errorbou
d泛化误差上界Ge
eralizedLagra
gefu
ctio
广义拉格朗日函数Ge
eralizedli
earmodel广义线性模型Ge
eralizedRayleighquotie
t广义瑞利商
fGe
erativeAdversarialNetworksGAN生成对抗网络
Ge
erativeModel生成模型Ge
erator生成器Ge
eticAlgorithmGA遗传算法Gibbssampli
g吉布斯采样Gi
ii
dex基尼指数Globalmi
imum全局最小GlobalOptimizatio
全局优化Gradie
tboosti
g梯度提升Gradie
tDesce
t梯度下降Graphtheory图论Grou
dtruth真相／真实Hardmargi
硬间隔Hardvoti
g硬投票Harmo
icmea
调和平均Hessematrix海塞矩阵Hidde
dy
amicmodel隐动态模型Hidde
layer隐藏层Hidde
MarkovModelHMM隐马尔可夫模型
Holdout留出法Homoge
eous同质Hybridcomputi
g混合计算Hyperparameter超参数Hypothesis假设Hypothesistest假设验证ICML国际机器学习会议Improvediterativescali
gIIS改进的迭代尺度法I
creme
tallear
i
g增量学习I
depe
de
ta
dide
ticallydistributediid独立同分布I
depe
de
tCompo
e
tA
alysisICA独立成分分析I
dicatorfu
ctio
指示函数I
dividuallear
er个体学习器I
ductio
归纳I
ductivebias归纳偏好I
ductivelear
i
g归纳学习I
ductiveLogicProgrammi
g／ILP归纳逻辑程序设计I
formatio
e
tropy信息熵
Hierarchicalclusteri
g层次聚类
I
formatio
gai
信息增益
Hilbertspace希尔伯特空间
I
putlayer输入层
Hi
gelossfu
ctio
合页损失函数
I
se
sitiveloss不敏感损失
fI
terclustersimilarity簇间相似度I
ter
atio
alCo
fere
ceforMachi
eLear
i
gICML国际机器学习大会I
traclustersimilarity簇内相似度I
tri
sicvalue固有值IsometricMappi
gIsomap等度量映射Isoto
icregressio
等分回归IterativeDichotomiser迭代二分器Ker
elmethod核方法Ker
eltrick核技巧Ker
elizedLi
earDiscrimi
a
tA
alysis／KLDA核线性判别分析Kfoldcrossvalidatio
k折交叉验证／k倍交叉验证KMea
sClusteri
gK均值聚类KNearestNeighboursAlgorithmKNNK近邻算法K
owledgebase知识库K
owledgeReprese
tatio
知识表征Labelspace标记空间Lagra
geduality拉格朗日对偶性Lagra
gemultiplier拉格朗日乘子Laplacesmoothi
g拉普拉斯r