77 search results - page 8 / 16 » Twin Vector Machines for Online Learning on a Budget. |
AAAI
1996
13 years 8 months ago
1996
As more information becomes available electronically, tools for finding information of interest to users becomes increasingly important. The goal of the research described here is...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
We present a new type of multi-class learning algorithm called a linear-max algorithm. Linearmax algorithms learn with a special type of attribute called a sub-expert. A sub-exper...
JMLR
2006
13 years 7 months ago
2006
This paper presents an online support vector machine (SVM) that uses the stochastic meta-descent (SMD) algorithm to adapt its step size automatically. We formulate the online lear...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
Kernel methods have been shown to be very effective for applications requiring the modeling of structured objects. However kernels for structures usually are too computational dem...
JMLR
2010
13 years 6 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...