Edward W. Wild

According to our database, Edward W. Wild authored at least 10 papers between 2004 and 2010.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2010

Privacy-Preserving Random Kernel Classification of Checkerboard Partitioned Data.

Olvi L. Mangasarian, Edward W. Wild

Proceedings of the Data Mining - Special Issue in Annals of Information Systems, 2010

2009

Proximal Knowledge-based Classification.

Olvi L. Mangasarian, Edward W. Wild, Glenn Fung

Stat. Anal. Data Min., 2009

2008

Nonlinear Knowledge-Based Classification.

Olvi L. Mangasarian, Edward W. Wild

IEEE Trans. Neural Networks, 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

Privacy-Preserving Classification of Horizontally Partitioned Data via Random Kernels.

Olvi L. Mangasarian, Edward W. Wild

Proceedings of The 2008 International Conference on Data Mining, 2008

2007

Nonlinear Knowledge in Kernel Approximation.

Olvi L. Mangasarian, Edward W. Wild

IEEE Trans. Neural Networks, 2007

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

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Multisurface Proximal Support Vector Machine Classification via Generalized Eigenvalues.

Olvi L. Mangasarian, Edward W. Wild

IEEE Trans. Pattern Anal. Mach. Intell., 2006

2005

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

Proceedings of the Proceedings, 2005

2004

Knowledge-Based Kernel Approximation.

Olvi L. Mangasarian, Jude W. Shavlik, Edward W. Wild

J. Mach. Learn. Res., 2004