Bibliography
163
H. Engum. IncRidge: A Software Tool for Scalable Incremental and Decremental
Classifier Algorithms based on Support Vector Approximations. Technical report,
IDI, NTNU, July 2003.
H. Engum, J. V. Iversen, and Ø. Rein. Zereal: A Semi-realistic Simulator of
Massively Multiplayer Games. Technical report, IDI, NTNU, December 2002.
T. Finin, A. Joshi, L. Kagal, O. Ratsimor, S. Avancha, V. Korolov, H. Chen,
F. Perich, and R. S. Cost. Intelligent Agents for Mobile and Embedded De-
vices. International Journal of Cooperative Information Systems, 11(3-4):205
230, 2002.
J. H. Friedman. Multivariate adaptive regression splines (MARS). The Annals
of Statistics, 19(1):1141, 1991.
G. Fung and O. L. Mangasarian. Multicategory Proximal Support Vector Clas-
sifiers. Submitted to Machine Learning Journal, 2001a.
G. Fung and O. L. Mangasarian. Proximal support vector machine classifiers.
In Proceedings of the 7th ACM Conference on Knowledge Discovery and Data
Mining, pages 7786. ACM, 2001b.
G. Fung and O. L. Mangasarian. Incremental Support Vector Machine Classifi-
cation. In R. Grossman, H. Mannila, and R. Motwani, editors, Proceedings of the
Second SIAM International Conference on Data Mining, pages 247260. SIAM,
April 2002.
E. Garfield. The meaning of the Impact Factor. International Journal of Clinical
and Health Psychology, 3(2):363369, 2003.
R. Genov and G. Cauwenberghs. Kerneltron Support Vector 'Machine' in Silicon.
IEEE Transactions on Neural Networks, 14(5):14261434, September 2003.
S. Gibbs. Data Parallelism and the Support Vector Machine. Online Proceed-
ings of the Information Processing Systems (IPS) Laboratory Research Forum,
Department of Electrical Engineering, Ohio State University, Colombus, Ohio,
USA, 2003.
W. Gibson. Neuromancer. Ace Books, 1984.
F. Girosi, T. Poggio, and B. Caprile. Extensions of a theory of networks for
approximation and learning. In R. P. Lippmann, J. E. Moody, and D. S. Touret-
zky, editors, Advances in Neural Information Processing Systems, volume 3, pages
750756. Morgan Kaufmann Publishers, Inc., 1991.
J. Goldman and M. Axtell. On Using Logic Synthesis for Supervised Classification
Learning. In Proceedings of the 7th IEEE International Conference on Tools with
Artificial Intelligence (ICTAI'95), November 1995.