| 2008 |
|---|
| 9 | EE | Andras Sobester,
Prasanth B. Nair,
Andy J. Keane:
Genetic Programming Approaches for Solving Elliptic Partial Differential Equations.
IEEE Trans. Evolutionary Computation 12(4): 469-478 (2008) |
| 2007 |
|---|
| 8 | EE | Zongzhao Zhou,
Yew-Soon Ong,
Prasanth B. Nair,
Andy J. Keane,
Kai Yew Lum:
Combining Global and Local Surrogate Models to Accelerate Evolutionary Optimization.
IEEE Transactions on Systems, Man, and Cybernetics, Part C 37(1): 66-76 (2007) |
| 7 | EE | Phani Chinchapatnam,
K. Djidjeli,
Prasanth B. Nair:
Pointwise uniformly convergent numerical treatment for the non-stationary Burger-Huxley equation using grid equidistribution.
Int. J. Comput. Math. 84(10): 1509-1521 (2007) |
| 2006 |
|---|
| 6 | EE | Yew-Soon Ong,
Prasanth B. Nair,
Kai Yew Lum:
Max-min surrogate-assisted evolutionary algorithm for robust design.
IEEE Trans. Evolutionary Computation 10(4): 392-404 (2006) |
| 5 | EE | Arindam Choudhury,
Prasanth B. Nair,
Andy J. Keane:
Constructing a speculative kernel machine for pattern classification.
Neural Networks 19(1): 84-89 (2006) |
| 2002 |
|---|
| 4 | EE | Arindam Choudhury,
Prasanth B. Nair,
Andy J. Keane:
A Data Parallel Approach for Large-Scale Gaussian Process Modeling.
SDM 2002 |
| 3 | EE | Prasanth B. Nair,
Arindam Choudhury,
Andy J. Keane:
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels.
Journal of Machine Learning Research 3: 781-801 (2002) |
| 2001 |
|---|
| 2 | | Prasanth B. Nair,
Arindam Choudhury,
Andy J. Keane:
Some Greedy Algorithms for Sparse Nonlinear Regression.
ICML 2001: 369-376 |
| 1999 |
|---|
| 1 | | Mohammed El-Beltagy,
Prasanth B. Nair,
Andy J. Keane:
Metamodeling Techniques For Evolutionary Optimization of Computationally Expensive Problems: Promises and Limitations.
GECCO 1999: 196-203 |
