1648 search results - page 230 / 330 » Training Data Selection for Support Vector Machines |
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...
ICPR
2010
IEEE
14 years 13 days 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...
ICANN
2009
Springer
13 years 6 months ago
2009
Springer
Abstract. This paper studies a risk minimization approach to estimate a transformation model from noisy observations. It is argued that transformation models are a natural candidat...
SEMWEB
2010
Springer
13 years 7 months ago
2010
Springer
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
KDD
2008
ACM
14 years 9 months ago
2008
ACM
In an idealized gated radiotherapy treatment, radiation is delivered only when the tumor is at the right position. For gated lung cancer radiotherapy, it is difficult to generate ...