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| 2003 | ||
|---|---|---|
| 5 | EE | Boris Igelnik: Use of the Kolmogorov's Superposition Theorem and Cubic Splines for Efficient Neural-Network Modeling. KES 2003: 184-190 |
| 1999 | ||
| 4 | EE | Boris Igelnik, Yoh-Han Pao, Steven R. LeClair, Chang-Yun Shen: The ensemble approach to neural-network learning and generalization. IEEE Transactions on Neural Networks 10(1): 19-30 (1999) |
| 1998 | ||
| 3 | Boris Igelnik, Yoh-Han Pao, Steven R. LeClair: Experimental Comparison of Different Adaptive Stochastic Optimization Methods for Use with Ensemble Net Approach for Learning and Generalization. NC 1998: 1009-1015 | |
| 1995 | ||
| 2 | EE | Boris Igelnik, Yoh-Han Pao: A Stochastic Optimization Algorithm for Neural Net Learning. IEA/AIE 1995: 29-34 |
| 1 | EE | Boris Igelnik, Yaakov Kogan, Vladimir Kriman, Debasis Mitra: A new computational approach for stochastic fluid models of multiplexers with heterogeneous sources. Queueing Syst. 20(1-2): 85-116 (1995) |
| 1 | Yaakov Kogan | [1] |
| 2 | Vladimir Kriman | [1] |
| 3 | Steven R. LeClair | [3] [4] |
| 4 | Debasis Mitra | [1] |
| 5 | Yoh-Han Pao | [2] [3] [4] |
| 6 | Chang-Yun Shen | [4] |