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NIPS
2001
13 years 10 months ago
Convolution Kernels for Natural Language
We describe the application of kernel methods to Natural Language Processing (NLP) problems. In many NLP tasks the objects being modeled are strings, trees, graphs or other discre...
Michael Collins, Nigel Duffy
NIPS
2001
13 years 10 months ago
Dynamic Time-Alignment Kernel in Support Vector Machine
A new class of Support Vector Machine (SVM) that is applicable to sequential-pattern recognition such as speech recognition is developed by incorporating an idea of non-linear tim...
Hiroshi Shimodaira, K.-I. Noma, Mitsuru Nakai, Shi...
NIPS
2001
13 years 10 months ago
Kernel Logistic Regression and the Import Vector Machine
The support vector machine (SVM) is known for its good performance in binary classification, but its extension to multi-class classification is still an on-going research issue. I...
Ji Zhu, Trevor Hastie
WSCG
2004
172views more  WSCG 2004»
13 years 10 months ago
GDESK: Game Discrete Event Simulation Kernel
Simulation has been used traditionally to solve other areas problems. Real time applications like videogames use typically a continuous simulation scheme. That way of operation ha...
Inmaculada García, Ramón Mollá...
ICPR
2004
IEEE
14 years 10 months ago
Multi-Resolution Template Kernels
Domains in which shapes of objects change rapidly and significantly are a challenge for existing representation techniques: sport is a good example of this. We present a texture-b...
Chris J. Needham, Roger D. Boyle