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ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
We show how the regularizer of Transductive Support Vector Machines (TSVM) can be trained by stochastic gradient descent for linear models and multi-layer architectures. The resul...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Feature selection is often applied to highdimensional data prior to classification learning. Using the same training dataset in both selection and learning can result in socalled ...
AMEC
2003
Springer
14 years 18 days ago
2003
Springer
Digital information economies require information goods producers to learn how to position themselves within a potentially vast product space. Further, the topography of this spac...
ALT
2006
Springer
14 years 4 months ago
2006
Springer
This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— It is difficult to map many existing learning algorithms onto biological networks because the former require a separate learning network. The computational basis of biological...