92 search results - page 2 / 19 » Combining Discriminant Models with New Multi-Class SVMs |
KDD
2002
ACM
14 years 5 months ago
2002
ACM
Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...
RECOMB
2005
Springer
14 years 5 months ago
2005
Springer
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
KDD
2008
ACM
14 years 5 months ago
2008
ACM
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
ICASSP
2011
IEEE
2011
IEEE
Beyond bag of words: Combining generative and discriminative models for natural scene categorization
12 years 8 months ago
This paper proposes a simple yet new and effective framework by combining generative model and discriminative model for natural scene categorization. A state-of-the-art approach f...
JMLR
2010
12 years 11 months ago
2010
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...