36 search results - page 1 / 8 » Non-Sparse Regularization and Efficient Training with Multip... |
CORR
2010
Springer
13 years 9 months ago
2010
Springer
ICML
2008
IEEE
14 years 11 months ago
2008
IEEE
Similarity matrices generated from many applications may not be positive semidefinite, and hence can't fit into the kernel machine framework. In this paper, we study the prob...
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
Multiple kernel learning (MKL) uses a weighted combination of kernels where the weight of each kernel is optimized during training. However, MKL assigns the same weight to a kerne...
IJON
2006
13 years 11 months ago
2006
We present a framework for efficient extrapolation of reduced rank approximations, graph kernels, and locally linear embeddings (LLE) to unseen data. We also present a principled ...
NIPS
2004
14 years 8 days ago
2004
We describe an algorithm for support vector machines (SVM) that can be parallelized efficiently and scales to very large problems with hundreds of thousands of training vectors. I...