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For: Balasundaram S, Kapil. On extreme learning machine for ε-insensitive regression in the primal by Newton method. Neural Comput Appl 2012. [DOI: 10.1007/s00521-011-0798-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Number Cited by Other Article(s)
1
Gupta D, Hazarika BB, Berlin M. Robust regularized extreme learning machine with asymmetric Huber loss function. Neural Comput Appl 2020. [DOI: 10.1007/s00521-020-04741-w] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
2
Mozaffari A, Behzadipour S. A modular extreme learning machine with linguistic interpreter and accelerated chaotic distributor for evaluating the safety of robot maneuvers in laparoscopic surgery. Neurocomputing 2015. [DOI: 10.1016/j.neucom.2014.10.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
3
On optimization based extreme learning machine in primal for regression and classification by functional iterative method. INT J MACH LEARN CYB 2014. [DOI: 10.1007/s13042-014-0283-8] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
4
Extreme learning machine and its applications. Neural Comput Appl 2013. [DOI: 10.1007/s00521-013-1522-8] [Citation(s) in RCA: 83] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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