1015 search results - page 67 / 203 » Kernels for Multi--task Learning |
JMLR
2002
13 years 7 months ago
2002
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
TNN
2010
13 years 2 months ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Recently, in generic object recognition research, a classification technique based on integration of image features is garnering much attention. However, with a classifying techn...
ICDAR
2009
IEEE
13 years 5 months ago
2009
IEEE
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
ISNN
2004
Springer
14 years 1 months ago
2004
Springer
This paper presents an unsupervised fuzzy-kernel learning vector quantization algorithm called FKLVQ. FKLVQ is a batch type of clustering learning network by fusing the batch learn...