| 2008 |
|---|
| 7 | | Olvi L. Mangasarian,
Edward W. Wild:
Privacy-Preserving Classification of Horizontally Partitioned Data via Random Kernels.
DMIN 2008: 473-479 |
| 6 | EE | Olvi L. Mangasarian,
Edward W. Wild,
Glenn Fung:
Privacy-preserving classification of vertically partitioned data via random kernels.
TKDD 2(3): (2008) |
| 2007 |
|---|
| 5 | | Richard Maclin,
Edward W. Wild,
Jude W. Shavlik,
Lisa Torrey,
Trevor Walker:
Refining Rules Incorporated into Knowledge-Based Support Vector Learners Via Successive Linear Programming.
AAAI 2007: 584-589 |
| 4 | EE | Olvi L. Mangasarian,
Edward W. Wild:
Nonlinear Knowledge in Kernel Approximation.
IEEE Transactions on Neural Networks 18(1): 300-306 (2007) |
| 2006 |
|---|
| 3 | EE | Olvi L. Mangasarian,
Edward W. Wild:
Multisurface Proximal Support Vector Machine Classification via Generalized Eigenvalues.
IEEE Trans. Pattern Anal. Mach. Intell. 28(1): 69-74 (2006) |
| 2005 |
|---|
| 2 | | Richard Maclin,
Jude W. Shavlik,
Lisa Torrey,
Trevor Walker,
Edward W. Wild:
Giving Advice about Preferred Actions to Reinforcement Learners Via Knowledge-Based Kernel Regression.
AAAI 2005: 819-824 |
| 2004 |
|---|
| 1 | EE | Olvi L. Mangasarian,
Jude W. Shavlik,
Edward W. Wild:
Knowledge-Based Kernel Approximation.
Journal of Machine Learning Research 5: 1127-1141 (2004) |
