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Citation(s) in
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For:
Balasundaram S
, Tanveer M.
Smooth Newton method for implicit Lagrangian twin support vector regression.
KES
2013. [DOI:
10.3233/kes-130277
]
[
Citation(s) in
RCA
: 6
]
[
Impact Index Per Article: 0.5
]
[
Reference Citation Analysis
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[Indexed: 11/15/2022]
Number
Cited by Other Article(s)
1
Balasundaram S
, Meena Y. Training primal twin support vector regression via unconstrained convex minimization.
APPL INTELL
2015. [DOI:
10.1007/s10489-015-0731-5
]
[
Citation(s) in
RCA
: 14
]
[
Impact Index Per Article: 1.6
]
[
Reference Citation Analysis
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[Indexed: 11/30/2022]
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2
Tanveer M
. Newton method for implicit Lagrangian twin support vector machines.
INT J MACH LEARN CYB
2015. [DOI:
10.1007/s13042-015-0414-x
]
[
Citation(s) in
RCA
: 19
]
[
Impact Index Per Article: 2.1
]
[
Reference Citation Analysis
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[Indexed: 10/23/2022]
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3
A regularization on Lagrangian twin support vector regression.
INT J MACH LEARN CYB
2015. [DOI:
10.1007/s13042-015-0361-6
]
[
Citation(s) in
RCA
: 19
]
[
Impact Index Per Article: 2.1
]
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[Indexed: 10/23/2022]
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4
Tanveer M
. Application of smoothing techniques for linear programming twin support vector machines.
Knowl Inf Syst
2014. [DOI:
10.1007/s10115-014-0786-3
]
[
Citation(s) in
RCA
: 27
]
[
Impact Index Per Article: 2.7
]
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[Indexed: 10/24/2022]
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