S. Balasundaram

Publication Activity (10 Years)

Years Active: 1991-2023
Publications (10 Years): 12

Top Topics

Extreme Learning Machine

Global Convergence

Top Venues

Neural Comput. Appl.

Neural Process. Lett.

Int. J. Knowl. Based Intell. Eng. Syst.

Publications

Subhash Chandra Prasad, P. Anagha, S. Balasundaram
Robust Pinball Twin Bounded Support Vector Machine for Data Classification. Neural Process. Lett. 55 (2) (2023)
Subhash Chandra Prasad, S. Balasundaram
On Lagrangian L2-norm pinball twin bounded support vector machine via unconstrained convex minimization. Inf. Sci. 571 (2021)
S. Balasundaram, Subhash Chandra Prasad
On pairing Huber support vector regression. Appl. Soft Comput. 97 (Part B) (2020)
S. Balasundaram, Subhash Chandra Prasad
Robust twin support vector regression based on Huber loss function. Neural Comput. Appl. 32 (15) (2020)
S. Balasundaram, Yogendra Meena
Robust Support Vector Regression in Primal with Asymmetric Huber Loss. Neural Process. Lett. 49 (3) (2019)
P. Anagha, S. Balasundaram, Yogendra Meena
On robust twin support vector regression in primal using squared pinball loss. J. Intell. Fuzzy Syst. 35 (5) (2018)
S. Balasundaram, Gagandeep Benipal
On a new approach for Lagrangian support vector regression. Neural Comput. Appl. 29 (9) (2018)
S. Balasundaram, Deepak Gupta, Subhash Chandra Prasad
A new approach for training Lagrangian twin support vector machine via unconstrained convex minimization. Appl. Intell. 46 (1) (2017)
S. Balasundaram, Deepak Gupta
On optimization based extreme learning machine in primal for regression and classification by functional iterative method. Int. J. Mach. Learn. Cybern. 7 (5) (2016)
S. Balasundaram, Deepak Gupta
Knowledge-based extreme learning machines. Neural Comput. Appl. 27 (6) (2016)
S. Balasundaram, Yogendra Meena
A new approach for training Lagrangian support vector regression. Knowl. Inf. Syst. 49 (3) (2016)
S. Balasundaram, Yogendra Meena
Training primal twin support vector regression via unconstrained convex minimization. Appl. Intell. 44 (4) (2016)
S. Balasundaram, Deepak Gupta, Kapil
1-Norm extreme learning machine for regression and multiclass classification using Newton method. Neurocomputing 128 (2014)
S. Balasundaram, Deepak Gupta
Training Lagrangian twin support vector regression via unconstrained convex minimization. Knowl. Based Syst. 59 (2014)
S. Balasundaram, Deepak Gupta
On implicit Lagrangian twin support vector regression by Newton method. Int. J. Comput. Intell. Syst. 7 (1) (2014)
S. Balasundaram, Deepak Gupta, Kapil
Lagrangian support vector regression via unconstrained convex minimization. Neural Networks 51 (2014)
S. Balasundaram, Muhammad Tanveer
Smooth Newton method for implicit Lagrangian twin support vector regression. Int. J. Knowl. Based Intell. Eng. Syst. 17 (4) (2013)
S. Balasundaram, Kapil
On extreme learning machine for ε-insensitive regression in the primal by Newton method. Neural Comput. Appl. 22 (3-4) (2013)
S. Balasundaram, Muhammad Tanveer
On Lagrangian twin support vector regression. Neural Comput. Appl. 22 (Supplement-1) (2013)
S. Balasundaram, Muhammad Tanveer
On proximal bilateral-weighted fuzzy support vector machine classifiers. Int. J. Adv. Intell. Paradigms 4 (3/4) (2012)
S. Balasundaram, Kapil
Finite Newton method for implicit Lagrangian support vector regression. Int. J. Knowl. Based Intell. Eng. Syst. 15 (4) (2011)
S. Balasundaram, Kapil
Application of error minimized extreme learning machine for simultaneous learning of a function and its derivatives. Neurocomputing 74 (16) (2011)
S. Balasundaram, Kapil
Weighted fuzzy ridge regression analysis with crisp inputs and triangular fuzzy outputs. Int. J. Adv. Intell. Paradigms 3 (1) (2011)
S. Balasundaram, Kapil
On Lagrangian support vector regression. Expert Syst. Appl. 37 (12) (2010)
S. Balasundaram, Rampal Singh
On finite Newton method for support vector regression. Neural Comput. Appl. 19 (7) (2010)
Gautham V. Pallapa, S. Balasundaram
Agent Based Suspect Stalking in Ad Hoc Wireless Networks. IICAI (2003)
Neelam Bhalla, S. Balasundaram
Operations and queries in object-oriented databases supporting complex objects. Inf. Softw. Technol. 35 (1) (1993)
Neelam Bhalla, S. Balasundaram
Object-Oriented Data Modelling for Graphics Databases: a Declarative Approach. Comput. Graph. Forum 10 (4) (1991)