996 search results - page 38 / 200 » Generalised Kernel Machines |
DAGM
2010
Springer
13 years 10 months ago
2010
Springer
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
DAGM
2010
Springer
13 years 10 months ago
2010
Springer
Abstract. Approximations based on random Fourier features have recently emerged as an efficient and elegant methodology for designing large-scale kernel machines [4]. By expressing...
ICMLC
2010
Springer
13 years 7 months ago
2010
Springer
We review a multiple kernel learning (MKL) technique called p regularised multiple kernel Fisher discriminant analysis (MK-FDA), and investigate the effect of feature space denois...
ICML
2007
IEEE
14 years 9 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...
ESANN
2004
13 years 10 months ago
2004
The problem of model selection for support vector machines (SVMs) is considered. We propose an evolutionary approach to determine multiple SVM hyperparameters: The covariance matr...