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201
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
In this paper, we define a family of syntactic kernels for automatic relational learning from pairs of natural language sentences. We provide an efficient computation of such mode...
170
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GECCO
2003
Springer
16 years 10 hour ago
2003
Springer
In this paper, a novel genetically-inspired visual learning method is proposed. Given the training images, this general approach induces a sophisticated feature-based recognition s...
175
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ESANN
2006
15 years 8 months ago
2006
In this presentation we show the semi-supervised learning with two input sources can be transformed into a maximum margin problem to be similar to a binary SVM. Our formulation exp...
195
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ESANN
2001
15 years 8 months ago
2001
This paper describes a method of supervised learning based on forward selection branching. This method improves fault tolerance by means of combining information related to general...
219
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IJON
2008
15 years 5 months ago
2008
The problem of inductive supervised learning is discussed in this paper within the context of multi-objective (MOBJ) optimization. The smoothness-based apparent (effective) comple...