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1
Machine Learning: Modeling Data Locally and Globally
Springer Berlin Heidelberg
Dr. Kaizhu Huang
,
Dr. Haiqin Yang
,
Prof. Irwin King
,
Dr. Michael Lyu (auth.)
margin
global
mempm
optimization
probability
function
ϕ
models
bmpm
method
vector
accuracy
decision
mpm
optimal
error
hyperplane
svr
classification
minimax
dataset
β0
regression
different
methods
ξi
svm
datasets
lsvr
gaussian
imbalanced
linear
covariance
setting
worst
classifier
maximum
corresponding
kernel
bayes
proposed
biased
positive
roc
accuracies
maxi
neural
cases
globally
parameters
Year:
2008
Language:
english
File:
PDF, 2.72 MB
Your tags:
0
/
0
english, 2008
2
Machine Learning: Modeling Data Locally and Globally (Advanced Topics in Science and Technology in China)
Springer
Kai-Zhu Huang
,
Hai-Qin Yang
,
Irwin King
,
Michael Lyu
margin
global
mempm
optimization
probability
function
ϕ
models
bmpm
method
vector
accuracy
decision
mpm
optimal
error
hyperplane
svr
classification
minimax
dataset
β0
regression
different
methods
ξi
svm
datasets
lsvr
gaussian
imbalanced
linear
covariance
setting
worst
classifier
maximum
corresponding
kernel
bayes
proposed
biased
positive
roc
accuracies
maxi
neural
cases
globally
parameters
Year:
2008
Language:
english
File:
PDF, 2.18 MB
Your tags:
0
/
0
english, 2008
3
Machine Learning: Modeling Data Locally and Globally (Advanced Topics in Science and Technology in China)
Springer
Kai-Zhu Huang
,
Haiqin Yang
,
Michael R. Lyu
margin
global
mempm
optimization
probability
function
ϕ
models
bmpm
method
vector
accuracy
decision
mpm
optimal
error
hyperplane
svr
classification
minimax
dataset
β0
regression
different
methods
ξi
svm
datasets
lsvr
gaussian
imbalanced
linear
covariance
setting
worst
classifier
maximum
corresponding
kernel
bayes
proposed
biased
positive
roc
accuracies
maxi
neural
cases
globally
parameters
Year:
2008
Language:
english
File:
PDF, 2.39 MB
Your tags:
0
/
0
english, 2008
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