Database Reference
In-Depth Information
In this example, we have shown that kernel methods are capable to reveal
useful and complex information in linguistics data. Besides, what we have
presented here may be regarded as an exposition of the versatility of kernel
methods.
1.5 Conclusion and Further Reading
Kernel Methods and Pattern Analysis can be considered two of the most
important topics in machine learning in the last few years. Their adaptability
and modularity has produced a variety of kernels and algorithms in a number
of different topic areas. In particular, well known algorithms have been mod-
ified into a kernel version. Thousands of papers have already been published
in this field, and accessing the primary literature is becoming increasingly a
daunting task. Comprehensive introductions to the field have appeared, par-
ticularly the textbooks (27), (6), (24), (31). Many websites are also available,
with free software and pointers to recent publications in the field.
In particular www.kernel-methods.net and www.support-vector.net
contain free material, whereas www.kernel-machines.org contains updated
pointers to all main events in the kernel methods community.
The field of Kernel Methods is a crucial part of modern Pattern Analysis,
and a great deal of active research is devoted to do it.
Acknowledgment
Marco Turchi is supported by the EU Project SMART.
References
[1] F. R. Bach and M. I. Jordan. Kernel independent component analysis.
Journal of Machine Learning Research , 3:1-48, 2002.
[2] D. Benedetto, E. Caglioti, and V. Loreto. Language trees and zipping.
Physical Review Letters , 88(4), January 2002.
[3] T. De Bie, N. Cristianini, and R. Rosipal. Eigenproblems in pattern
recognition. In E. Bayro-Corrochano, editor, Handbook of Computa-
tional Geometry for Pattern Recognition, Computer Vision, Neurocom-
puting and Robotics . Springer-Verlag, 2004.
[4] B. E. Boser, I. M. Guyon, and V. N. Vapnik. A training algorithm
for optimal margin classifiers. In COLT '92: Proceedings of the Fifth
 
Search WWH ::




Custom Search