1334 search results - page 42 / 267 » Composite kernel learning |
149
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ILP
2007
Springer
15 years 9 months ago
2007
Springer
In this chapter, we describe a view of statistical learning in the inductive logic programming setting based on kernel methods. The relational representation of data and background...
124
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ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
The problem of learning a transduction, that is a string-to-string mapping, is a common problem arising in natural language processing and computational biology. Previous methods ...
150
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IADIS
2008
15 years 4 months ago
2008
Building semantics concepts into the learning tools and utilities will open the road for the next generation of the Learning Content Management System (LCMS). We propose here to n...
ICPR
2002
IEEE
16 years 4 months ago
2002
IEEE
We present in this paper a new multi-class Bayes classifier that permits using separate feature vectors, chosen specifically for each class. This technique extends previous work o...
140
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PCM
2004
Springer
15 years 8 months ago
2004
Springer
Kernel based methods have been of wide concern in the field of machine learning. This paper proposes a novel Gabor-Kernel Fisher analysis method (G-EKFM) for face recognition, whi...