Knowledge-Based Kernel Approximation. - Olvi L. Mangasarian; Jude W. Shavlik; Edward W. Wild (J. Mach. Learn. Res., 2004)

Giving Advice about Preferred Actions to Reinforcement Learners Via Knowledge-Based Kernel Regression. - Richard Maclin; Jude W. Shavlik; Lisa Torrey; Trevor Walker; Edward W. Wild (AAAI, 2005)

Multisurface Proximal Support Vector Machine Classification via Generalized Eigenvalues. - Olvi L. Mangasarian; Edward W. Wild (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Refining Rules Incorporated into Knowledge-Based Support Vector Learners Via Successive Linear Programming. - Richard Maclin; Edward W. Wild; Jude W. Shavlik; Lisa Torrey; Trevor Walker (AAAI, 2007)

Nonlinear Knowledge in Kernel Approximation. - Olvi L. Mangasarian; Edward W. Wild (IEEE Trans. Neural Networks, 2007)

Privacy-Preserving Classification of Horizontally Partitioned Data via Random Kernels. - Olvi L. Mangasarian; Edward W. Wild (DMIN, 2008)

Privacy-preserving classification of vertically partitioned data via random kernels. - Olvi L. Mangasarian; Edward W. Wild; Glenn Fung (ACM Trans. Knowl. Discov. Data, 2008)

Nonlinear Knowledge-Based Classification. - Olvi L. Mangasarian; Edward W. Wild (IEEE Trans. Neural Networks, 2008)

Proximal Knowledge-based Classification. - Olvi L. Mangasarian; Edward W. Wild; Glenn Fung (Stat. Anal. Data Min., 2009)

Privacy-Preserving Random Kernel Classification of Checkerboard Partitioned Data. - Olvi L. Mangasarian; Edward W. Wild (Data Mining, 2010)